getTypers() {
+ return typers;
+ }
+}
diff --git a/finetyper/src/main/java/edu/illinois/cs/cogcomp/finetyper/finer/components/mention/BasicMentionDetection.java b/finetyper/src/main/java/edu/illinois/cs/cogcomp/finetyper/finer/components/mention/BasicMentionDetection.java
new file mode 100644
index 000000000..19c7bb8e3
--- /dev/null
+++ b/finetyper/src/main/java/edu/illinois/cs/cogcomp/finetyper/finer/components/mention/BasicMentionDetection.java
@@ -0,0 +1,46 @@
+package edu.illinois.cs.cogcomp.finetyper.finer.components.mention;
+
+import edu.illinois.cs.cogcomp.core.datastructures.ViewNames;
+import edu.illinois.cs.cogcomp.core.datastructures.textannotation.Constituent;
+import edu.illinois.cs.cogcomp.core.datastructures.textannotation.Sentence;
+import edu.illinois.cs.cogcomp.core.datastructures.textannotation.TextAnnotation;
+import edu.illinois.cs.cogcomp.finetyper.Utils;
+import edu.illinois.cs.cogcomp.finetyper.finer.datastructure.FineTypeConstituent;
+import edu.illinois.cs.cogcomp.finetyper.finer.datastructure.types.FinerType;
+
+import java.util.ArrayList;
+import java.util.HashMap;
+import java.util.List;
+import java.util.Map;
+
+/**
+ * Created by haowu4 on 1/15/17.
+ *
+ * A FINER mention detection using Ontonotes NER output.
+ */
+public class BasicMentionDetection implements MentionDetecter {
+ TypeMapper mapper;
+
+ public BasicMentionDetection(TypeMapper mapper) {
+ this.mapper = mapper;
+ }
+
+ @Override
+ public List getMentionCandidates(TextAnnotation ta, Sentence sentence) {
+ List ret = new ArrayList<>();
+ List ner = Utils.getSentenceConstituents(sentence, ta, ViewNames.NER_ONTONOTES);
+ for (Constituent c : ner) {
+ FinerType coarseType = mapper.getType(c.getLabel());
+ if (coarseType == null) {
+ continue;
+ }
+ String typeName = coarseType.toString();
+ Map l2s = new HashMap<>();
+ l2s.put(typeName, 1.0);
+ FineTypeConstituent mention = new FineTypeConstituent(c);
+ mention.addCoarseType(coarseType);
+ ret.add(mention);
+ }
+ return ret;
+ }
+}
diff --git a/finetyper/src/main/java/edu/illinois/cs/cogcomp/finetyper/finer/components/mention/MentionDetecter.java b/finetyper/src/main/java/edu/illinois/cs/cogcomp/finetyper/finer/components/mention/MentionDetecter.java
new file mode 100644
index 000000000..67efedc3a
--- /dev/null
+++ b/finetyper/src/main/java/edu/illinois/cs/cogcomp/finetyper/finer/components/mention/MentionDetecter.java
@@ -0,0 +1,14 @@
+package edu.illinois.cs.cogcomp.finetyper.finer.components.mention;
+
+import edu.illinois.cs.cogcomp.core.datastructures.textannotation.Sentence;
+import edu.illinois.cs.cogcomp.core.datastructures.textannotation.TextAnnotation;
+import edu.illinois.cs.cogcomp.finetyper.finer.datastructure.FineTypeConstituent;
+
+import java.util.List;
+
+/**
+ * Created by haowu4 on 1/15/17.
+ */
+public interface MentionDetecter {
+ List getMentionCandidates(TextAnnotation ta, Sentence sentence);
+}
diff --git a/finetyper/src/main/java/edu/illinois/cs/cogcomp/finetyper/finer/components/mention/TypeMapper.java b/finetyper/src/main/java/edu/illinois/cs/cogcomp/finetyper/finer/components/mention/TypeMapper.java
new file mode 100644
index 000000000..a476b4166
--- /dev/null
+++ b/finetyper/src/main/java/edu/illinois/cs/cogcomp/finetyper/finer/components/mention/TypeMapper.java
@@ -0,0 +1,31 @@
+package edu.illinois.cs.cogcomp.finetyper.finer.components.mention;
+
+import edu.illinois.cs.cogcomp.finetyper.finer.datastructure.types.FinerType;
+import edu.illinois.cs.cogcomp.finetyper.finer.datastructure.types.TypeSystem;
+
+import java.util.Map;
+
+/**
+ * Created by haowu4 on 5/17/17.
+ *
+ * Map a given string to one of the type in a fine type taxonomy.
+ */
+public class TypeMapper {
+ TypeSystem types;
+ Map mapping;
+
+ public TypeMapper(TypeSystem types, Map mapping) {
+ this.types = types;
+ this.mapping = mapping;
+ }
+
+ public FinerType getType(String label) {
+ String tname = mapping.getOrDefault(label, null);
+ if (tname != null)
+ return types.getTypeOrFail(tname);
+ else {
+ return null;
+ }
+ }
+
+}
diff --git a/finetyper/src/main/java/edu/illinois/cs/cogcomp/finetyper/finer/components/typers/HypernymTyper.java b/finetyper/src/main/java/edu/illinois/cs/cogcomp/finetyper/finer/components/typers/HypernymTyper.java
new file mode 100644
index 000000000..d146bf3a6
--- /dev/null
+++ b/finetyper/src/main/java/edu/illinois/cs/cogcomp/finetyper/finer/components/typers/HypernymTyper.java
@@ -0,0 +1,80 @@
+package edu.illinois.cs.cogcomp.finetyper.finer.components.typers;
+
+import edu.illinois.cs.cogcomp.core.datastructures.ViewNames;
+import edu.illinois.cs.cogcomp.core.datastructures.textannotation.Constituent;
+import edu.illinois.cs.cogcomp.core.datastructures.textannotation.Sentence;
+import edu.illinois.cs.cogcomp.core.datastructures.textannotation.View;
+import edu.illinois.cs.cogcomp.finetyper.finer.datastructure.FineTypeConstituent;
+import edu.illinois.cs.cogcomp.finetyper.finer.datastructure.types.FinerType;
+import edu.illinois.cs.cogcomp.finetyper.finer.wordnet.WordNetUtils;
+import net.sf.extjwnl.JWNLException;
+import net.sf.extjwnl.data.Synset;
+
+import java.util.ArrayList;
+import java.util.List;
+import java.util.Map;
+
+/**
+ * Created by haowu4 on 5/21/17.
+ */
+public class HypernymTyper implements IFinerTyper {
+ Map> typeToSynsets;
+ WordNetUtils wordNetUtils;
+
+ public HypernymTyper(Map> typeToSynsets) {
+ this.typeToSynsets = typeToSynsets;
+ try {
+ wordNetUtils = WordNetUtils.getInstance();
+ } catch (JWNLException e) {
+ e.printStackTrace();
+ }
+ }
+
+ public void annotateOneMention(FineTypeConstituent mention) throws JWNLException {
+ FinerType coarseType = mention.getCoarseType();
+ int start = mention.getConstituent().getStartSpan();
+ int end = mention.getConstituent().getEndSpan();
+ if (start > 0) {
+ Constituent word_before = mention.getConstituent().getTextAnnotation().getView(ViewNames.TOKENS).getConstituents().get(start - 1);
+ if (word_before.getSentenceId() == mention.getConstituent().getSentenceId()) {
+ start = start - 1;
+ }
+ }
+
+ View wsdView = mention.getConstituent().getTextAnnotation().getView(ViewNames.FINE_NER_TYPE_WSD);
+ View posView = mention.getConstituent().getTextAnnotation().getView(ViewNames.POS);
+
+ for (Constituent c : wsdView.getConstituentsCoveringSpan(start, end)) {
+ if (posView.getConstituentsCovering(c).get(0).getLabel().startsWith("N")) {
+ if (c.getLabel().isEmpty()) {
+ continue;
+ }
+ Synset synset;
+ try {
+ synset = wordNetUtils.getSynsetByOffset(c.getLabel());
+ } catch (ArrayIndexOutOfBoundsException e) {
+ System.err.println(c.getLabel() + " Not Found...");
+ continue;
+ }
+ String synset_offset_pos = synset.getOffset() + "" + synset.getPOS();
+ List infered = typeToSynsets.getOrDefault(synset_offset_pos, new ArrayList<>());
+ for (FinerType t : infered) {
+ if (t.isChildOf(coarseType)) {
+ mention.addFineType(t);
+ }
+ }
+ }
+ }
+ }
+
+ @Override
+ public void annotate(List mentions, Sentence sentence) {
+ for (FineTypeConstituent m : mentions) {
+ try {
+ annotateOneMention(m);
+ } catch (Exception e) {
+ e.printStackTrace();
+ }
+ }
+ }
+}
diff --git a/finetyper/src/main/java/edu/illinois/cs/cogcomp/finetyper/finer/components/typers/IFinerTyper.java b/finetyper/src/main/java/edu/illinois/cs/cogcomp/finetyper/finer/components/typers/IFinerTyper.java
new file mode 100644
index 000000000..bfaacc8dd
--- /dev/null
+++ b/finetyper/src/main/java/edu/illinois/cs/cogcomp/finetyper/finer/components/typers/IFinerTyper.java
@@ -0,0 +1,13 @@
+package edu.illinois.cs.cogcomp.finetyper.finer.components.typers;
+
+import edu.illinois.cs.cogcomp.core.datastructures.textannotation.Sentence;
+import edu.illinois.cs.cogcomp.finetyper.finer.datastructure.FineTypeConstituent;
+
+import java.util.List;
+
+/**
+ * Created by haowu4 on 5/15/17.
+ */
+public interface IFinerTyper {
+ void annotate(List mentions, Sentence sentence);
+}
diff --git a/finetyper/src/main/java/edu/illinois/cs/cogcomp/finetyper/finer/components/typers/KBBiasTyper.java b/finetyper/src/main/java/edu/illinois/cs/cogcomp/finetyper/finer/components/typers/KBBiasTyper.java
new file mode 100644
index 000000000..93c6251dd
--- /dev/null
+++ b/finetyper/src/main/java/edu/illinois/cs/cogcomp/finetyper/finer/components/typers/KBBiasTyper.java
@@ -0,0 +1,64 @@
+package edu.illinois.cs.cogcomp.finetyper.finer.components.typers;
+
+import edu.illinois.cs.cogcomp.core.datastructures.textannotation.Constituent;
+import edu.illinois.cs.cogcomp.core.datastructures.textannotation.Sentence;
+import edu.illinois.cs.cogcomp.finetyper.finer.datastructure.FineTypeConstituent;
+import edu.illinois.cs.cogcomp.finetyper.finer.datastructure.types.FinerType;
+
+import java.util.*;
+import java.util.stream.Collectors;
+
+/**
+ * Created by haowu4 on 5/15/17.
+ */
+public class KBBiasTyper implements IFinerTyper {
+ Map> surfaceToTypeDB;
+
+ public KBBiasTyper(Map> surfaceToTypeDB) {
+ this.surfaceToTypeDB = surfaceToTypeDB;
+ }
+
+ public List annotateSingleMention(Constituent mention, FinerType coarseType) {
+ Set ret = new HashSet<>();
+ String surface = mention.getSurfaceForm();
+ Map candidates = surfaceToTypeDB.getOrDefault(surface, new HashMap<>());
+
+ double bestScore = Double.NEGATIVE_INFINITY;
+ FinerType bestType = null;
+ double norm = 0.0;
+
+ for (Map.Entry entry : candidates.entrySet()) {
+ FinerType t = entry.getKey();
+ double v = entry.getValue();
+ if (coarseType.isParentOf(t)) {
+ if (v == 1.0) {
+ ret.add(t);
+ } else {
+ norm += v;
+ if (bestScore < v) {
+ bestScore = v;
+ bestType = t;
+ }
+ }
+ }
+ }
+
+ if (bestType != null && bestScore / norm > 0.4) {
+ ret.add(bestType);
+ }
+
+ return ret.stream().collect(Collectors.toList());
+
+ }
+
+ @Override
+ public void annotate(List mentions, Sentence sentence) {
+ for (FineTypeConstituent mention : mentions) {
+ List annotated = annotateSingleMention(mention.getConstituent(), mention.getCoarseType());
+ for (FinerType t : annotated) {
+ mention.addFineType(t);
+ }
+ }
+
+ }
+}
diff --git a/finetyper/src/main/java/edu/illinois/cs/cogcomp/finetyper/finer/components/typers/NGramPattern.java b/finetyper/src/main/java/edu/illinois/cs/cogcomp/finetyper/finer/components/typers/NGramPattern.java
new file mode 100644
index 000000000..8d651b7de
--- /dev/null
+++ b/finetyper/src/main/java/edu/illinois/cs/cogcomp/finetyper/finer/components/typers/NGramPattern.java
@@ -0,0 +1,66 @@
+package edu.illinois.cs.cogcomp.finetyper.finer.components.typers;
+
+import java.util.Arrays;
+
+/**
+ * Created by haowu4 on 5/15/17.
+ */
+public class NGramPattern {
+ private int before;
+ private int after;
+ private String[] tokens;
+
+ public NGramPattern(int before, int after, String[] tokens) {
+ this.before = before;
+ this.after = after;
+ this.tokens = tokens;
+ }
+
+ public int getBefore() {
+ return before;
+ }
+
+ public int getAfter() {
+ return after;
+ }
+
+ public String[] getTokens() {
+ return tokens;
+ }
+
+ @Override
+ public boolean equals(Object o) {
+ if (this == o) return true;
+ if (o == null || getClass() != o.getClass()) return false;
+
+ NGramPattern that = (NGramPattern) o;
+
+ if (before != that.before) return false;
+ if (after != that.after) return false;
+ // Probably incorrect - comparing Object[] arrays with Arrays.equals
+ return Arrays.equals(tokens, that.tokens);
+ }
+
+ @Override
+ public int hashCode() {
+ int result = before;
+ result = 31 * result + after;
+ result = 31 * result + Arrays.hashCode(tokens);
+ return result;
+ }
+
+ @Override
+ public String toString() {
+ StringBuilder sb = new StringBuilder();
+ for (int i = 0; i < before; i++) {
+ sb.append("* ");
+ }
+
+ sb.append(String.join(" ", tokens));
+
+ for (int i = 0; i < after; i++) {
+ sb.append(" *");
+ }
+ return sb.toString();
+ }
+}
diff --git a/finetyper/src/main/java/edu/illinois/cs/cogcomp/finetyper/finer/components/typers/NGramPatternBasedTyper.java b/finetyper/src/main/java/edu/illinois/cs/cogcomp/finetyper/finer/components/typers/NGramPatternBasedTyper.java
new file mode 100644
index 000000000..b75cd3d83
--- /dev/null
+++ b/finetyper/src/main/java/edu/illinois/cs/cogcomp/finetyper/finer/components/typers/NGramPatternBasedTyper.java
@@ -0,0 +1,75 @@
+package edu.illinois.cs.cogcomp.finetyper.finer.components.typers;
+
+import edu.illinois.cs.cogcomp.core.datastructures.textannotation.Sentence;
+import edu.illinois.cs.cogcomp.core.datastructures.textannotation.TextAnnotation;
+import edu.illinois.cs.cogcomp.finetyper.finer.datastructure.FineTypeConstituent;
+import edu.illinois.cs.cogcomp.finetyper.finer.datastructure.types.FinerType;
+
+import java.util.ArrayList;
+import java.util.Arrays;
+import java.util.List;
+import java.util.Map;
+
+/**
+ * Created by haowu4 on 5/15/17.
+ */
+public class NGramPatternBasedTyper implements IFinerTyper {
+
+ private Map> allPatterns;
+ private int windowSize = 5;
+
+ public NGramPatternBasedTyper(Map> allPatterns) {
+ this(allPatterns, 5);
+ }
+
+ public NGramPatternBasedTyper(Map> allPatterns, int windowSize) {
+ this.allPatterns = allPatterns;
+ this.windowSize = windowSize;
+ }
+
+ public List extractAllPattern(String[] surface) {
+ List ret = new ArrayList<>();
+ for (int i = 0; i < surface.length; i++) {
+ String w = surface[i];
+ int word_before = i;
+ for (int j = 0; j < this.windowSize; j++) {
+ int word_after = surface.length - i - j;
+ if (word_after < 0) {
+ break;
+ }
+
+ NGramPattern sp = new NGramPattern(word_before, word_after, Arrays.copyOfRange(surface, i, i + j));
+ ret.add(sp);
+ }
+ }
+ return ret;
+ }
+
+ public void annotateOneMention(FineTypeConstituent c) {
+ FinerType coarseType = c.getCoarseType();
+ int start = c.getConstituent().getStartSpan();
+ int end = c.getConstituent().getEndSpan();
+ String[] surface = new String[end - start];
+ TextAnnotation ta = c.getConstituent().getTextAnnotation();
+ for (int i = 0; i < surface.length; i++) {
+ surface[i] = ta.getToken(start + i);
+ }
+
+ List existing_patterns = extractAllPattern(surface);
+
+ for (NGramPattern sp : existing_patterns) {
+ for (FinerType t : allPatterns.getOrDefault(sp, new ArrayList<>())) {
+ if (t.isChildOf(coarseType)) {
+ c.addFineType(t);
+ }
+ }
+ }
+ }
+
+ @Override
+ public void annotate(List mentions, Sentence sentence) {
+ for (FineTypeConstituent mention : mentions) {
+ annotateOneMention(mention);
+ }
+ }
+}
diff --git a/finetyper/src/main/java/edu/illinois/cs/cogcomp/finetyper/finer/datastructure/FineTypeConstituent.java b/finetyper/src/main/java/edu/illinois/cs/cogcomp/finetyper/finer/datastructure/FineTypeConstituent.java
new file mode 100644
index 000000000..036e69c1a
--- /dev/null
+++ b/finetyper/src/main/java/edu/illinois/cs/cogcomp/finetyper/finer/datastructure/FineTypeConstituent.java
@@ -0,0 +1,79 @@
+package edu.illinois.cs.cogcomp.finetyper.finer.datastructure;
+
+import edu.illinois.cs.cogcomp.core.datastructures.textannotation.Constituent;
+import edu.illinois.cs.cogcomp.finetyper.finer.datastructure.types.FinerType;
+
+import java.util.*;
+import java.util.stream.Collectors;
+
+/**
+ * Created by haowu4 on 5/17/17.
+ */
+public class FineTypeConstituent {
+
+ private Constituent constituent;
+ private FinerType coarseType;
+ private Set fineTypes;
+ private Map labelsToScores;
+
+ private static Map getLablToScore() {
+ Map ret = new HashMap();
+ ret.put("FinerType", 1.0);
+ return ret;
+ }
+
+ public FineTypeConstituent(Constituent constituent) {
+ this.constituent = constituent;
+ this.fineTypes = new HashSet<>();
+ this.labelsToScores = new HashMap<>();
+ }
+
+
+ public void addFineType(FinerType t) {
+ this.fineTypes.add(t);
+ }
+
+ public void addCoarseType(FinerType t) {
+ this.coarseType = t;
+ }
+
+
+ public FinerType getCoarseType() {
+ return coarseType;
+ }
+
+ public void finish() {
+ this.labelsToScores.clear();
+ for (FinerType t : this.fineTypes) {
+ if (t.isVisible()) {
+ this.labelsToScores.put(t, 1.0);
+ }
+ }
+
+ if (this.coarseType.isVisible()) {
+ this.labelsToScores.put(this.coarseType, 1.0);
+ }
+ }
+
+
+ public Optional toConstituent(String viewName) {
+ this.finish();
+ if (labelsToScores.isEmpty()) {
+ return Optional.empty();
+ } else {
+ Map labelStrToScores = labelsToScores
+ .entrySet()
+ .stream()
+ .collect(Collectors.toMap(x -> x.getKey().getType(), Map.Entry::getValue));
+ return Optional.of(new Constituent(labelStrToScores,
+ viewName,
+ this.constituent.getTextAnnotation(),
+ constituent.getStartSpan(), constituent.getEndSpan()));
+ }
+
+ }
+
+ public Constituent getConstituent() {
+ return constituent;
+ }
+}
diff --git a/finetyper/src/main/java/edu/illinois/cs/cogcomp/finetyper/finer/datastructure/types/FinerType.java b/finetyper/src/main/java/edu/illinois/cs/cogcomp/finetyper/finer/datastructure/types/FinerType.java
new file mode 100644
index 000000000..f55a414ef
--- /dev/null
+++ b/finetyper/src/main/java/edu/illinois/cs/cogcomp/finetyper/finer/datastructure/types/FinerType.java
@@ -0,0 +1,126 @@
+package edu.illinois.cs.cogcomp.finetyper.finer.datastructure.types;
+
+import net.sf.extjwnl.data.Synset;
+
+import java.util.ArrayList;
+import java.util.List;
+
+/**
+ * Created by haowu4 on 5/15/17.
+ */
+public class FinerType {
+ private TypeSystem typeSystem;
+ private String type;
+ private boolean isVisible;
+ private FinerType parent;
+ private List children;
+ private List wordnetIds;
+
+ FinerType(String name, boolean isVisible) {
+ this.typeSystem = null;
+ this.type = name;
+ this.isVisible = isVisible;
+ this.parent = null;
+ this.children = new ArrayList<>();
+ this.wordnetIds = new ArrayList<>();
+ }
+
+ public boolean isVisible() {
+ return isVisible;
+ }
+
+ public void setVisible(boolean visible) {
+ isVisible = visible;
+ }
+
+ public TypeSystem getTypeSystem() {
+ return typeSystem;
+ }
+
+ public void setTypeSystem(TypeSystem typeSystem) {
+ this.typeSystem = typeSystem;
+ }
+
+ public String getType() {
+ return type;
+ }
+
+ public void setType(String type) {
+ this.type = type;
+ }
+
+ public FinerType getParent() {
+ return parent;
+ }
+
+ public void setParent(FinerType parent) {
+ this.parent = parent;
+ }
+
+ public List getChildren() {
+ return children;
+ }
+
+ public void addChildren(FinerType child) {
+ this.children.add(child);
+ }
+
+ public boolean isParentOf(FinerType t) {
+ FinerType it = t.parent;
+ while (it != null) {
+ if (it.equals(this)) {
+ return true;
+ }
+ it = it.parent;
+ }
+ return false;
+ }
+
+ public boolean isParentOfOrEqual(FinerType t) {
+ FinerType it = t;
+ while (it != null) {
+ if (it.equals(this)) {
+ return true;
+ }
+ it = it.parent;
+ }
+ return false;
+ }
+
+ public boolean isChildOf(FinerType t) {
+ return t.isParentOf(this);
+ }
+
+ public boolean isChildOfOrEqual(FinerType t) {
+ return t.isParentOfOrEqual(this);
+ }
+
+ public boolean isCoarseType(FinerType t) {
+ return this.parent == null;
+ }
+
+ public List wordNetSenseIds() {
+ return this.wordnetIds;
+ }
+
+ public void addWordNetSenseId(Synset senseId) {
+ this.wordnetIds.add(senseId);
+ }
+
+
+ @Override
+ public boolean equals(Object o) {
+ if (this == o) return true;
+ if (o == null || getClass() != o.getClass()) return false;
+
+ FinerType finerType = (FinerType) o;
+
+ return type.equals(finerType.type);
+ }
+
+
+ @Override
+ public int hashCode() {
+ return type.hashCode();
+ }
+}
diff --git a/finetyper/src/main/java/edu/illinois/cs/cogcomp/finetyper/finer/datastructure/types/TypeSystem.java b/finetyper/src/main/java/edu/illinois/cs/cogcomp/finetyper/finer/datastructure/types/TypeSystem.java
new file mode 100644
index 000000000..c203c859c
--- /dev/null
+++ b/finetyper/src/main/java/edu/illinois/cs/cogcomp/finetyper/finer/datastructure/types/TypeSystem.java
@@ -0,0 +1,106 @@
+package edu.illinois.cs.cogcomp.finetyper.finer.datastructure.types;
+
+import com.google.gson.Gson;
+import com.google.gson.GsonBuilder;
+
+import java.io.BufferedReader;
+import java.io.IOException;
+import java.io.InputStream;
+import java.io.InputStreamReader;
+import java.util.*;
+
+/**
+ * Created by haowu4 on 5/15/17.
+ */
+public class TypeSystem {
+
+ // IO related helper class.
+ private static class TypeInfo {
+ String parent;
+ boolean is_figer_type;
+ }
+
+ private static class TypeInfos {
+ Map typeInfos;
+ }
+
+ public static TypeSystem getFromJson(InputStream is) throws IOException {
+
+
+ Gson gson = new GsonBuilder().create();
+ TypeInfos load = null;
+ try (BufferedReader reader =
+ new BufferedReader(new InputStreamReader(is))) {
+ load = gson.fromJson(reader, TypeInfos.class);
+ }
+ Map typeCollection = new HashMap<>();
+ Set invisiableTypes = new HashSet<>();
+ for (Map.Entry entry : load.typeInfos.entrySet()) {
+ String typeName = entry.getKey();
+ TypeInfo info = entry.getValue();
+ FinerType type = new FinerType(typeName, info.is_figer_type);
+ typeCollection.put(typeName, type);
+ }
+
+ for (Map.Entry entry : load.typeInfos.entrySet()) {
+ String typeName = entry.getKey();
+ TypeInfo info = entry.getValue();
+
+ FinerType currentType = typeCollection.get(typeName);
+ if (!currentType.isVisible()) {
+ invisiableTypes.add(currentType);
+ }
+ String parentName = info.parent;
+ if (parentName != null) {
+ FinerType parentType = typeCollection.get(parentName);
+ parentType.addChildren(currentType);
+ currentType.setParent(parentType);
+ }
+ }
+
+ TypeSystem typeSystem = new TypeSystem(typeCollection, invisiableTypes);
+
+ for (FinerType type : typeCollection.values()) {
+ type.setTypeSystem(typeSystem);
+ }
+
+ return typeSystem;
+ }
+
+ public TypeSystem(Map typeCollection, Set invisiableTypes) {
+ this.typeCollection = typeCollection;
+ this.invisiableTypes = invisiableTypes;
+ }
+
+ private Map typeCollection;
+ private Set invisiableTypes;
+
+ public FinerType getTypeOrFail(String name) {
+ if (typeCollection.containsKey(name)) {
+ FinerType t = typeCollection.get(name);
+ if (t != null) {
+ return t;
+ } else {
+ throw new RuntimeException("Type [" + name + "] is NULL.");
+ }
+ } else {
+ throw new RuntimeException("Type [" + name + "] Not Found");
+ }
+ }
+
+ public Set failedQueries = new HashSet<>();
+
+ public Optional getType(String name) {
+ FinerType t = typeCollection.get(name);
+ if (t == null) {
+ if (!failedQueries.contains(name)) {
+ failedQueries.add(name);
+ System.err.println("Type [" + name + "] Not Found");
+ }
+ return Optional.empty();
+ } else {
+ return Optional.of(t);
+ }
+ }
+
+}
diff --git a/finetyper/src/main/java/edu/illinois/cs/cogcomp/finetyper/finer/wordnet/WordNetUtils.java b/finetyper/src/main/java/edu/illinois/cs/cogcomp/finetyper/finer/wordnet/WordNetUtils.java
new file mode 100644
index 000000000..ea6f32e81
--- /dev/null
+++ b/finetyper/src/main/java/edu/illinois/cs/cogcomp/finetyper/finer/wordnet/WordNetUtils.java
@@ -0,0 +1,214 @@
+package edu.illinois.cs.cogcomp.finetyper.finer.wordnet;
+
+import net.sf.extjwnl.JWNLException;
+import net.sf.extjwnl.data.*;
+import net.sf.extjwnl.data.list.PointerTargetTree;
+import net.sf.extjwnl.data.list.PointerTargetTreeNode;
+import net.sf.extjwnl.dictionary.Dictionary;
+
+import java.io.IOException;
+import java.util.*;
+
+/**
+ * Created by muddire2 on 1/10/17.
+ */
+public class WordNetUtils {
+
+ private static WordNetUtils WORD_NET_UTILS;
+ private static final Object lock = new Object();
+ public Dictionary dictionary;
+ private Synset entitySynset;
+
+ private WordNetUtils() throws JWNLException {
+ dictionary = Dictionary.getDefaultResourceInstance();
+ entitySynset = getSynsets("entity").get(0);
+ }
+
+ public static WordNetUtils getInstance() throws JWNLException {
+ synchronized (WordNetUtils.class) {
+ if (WORD_NET_UTILS == null)
+ WORD_NET_UTILS = new WordNetUtils();
+ }
+ return WORD_NET_UTILS;
+ }
+
+ public static WordNetUtils getInstanceFastOrNull() {
+ return WORD_NET_UTILS;
+ }
+
+
+ public List getSynsets(String lemma, POS pos) throws JWNLException {
+ IndexWord w = dictionary.lookupIndexWord(pos, lemma);
+ return (w == null) ? new ArrayList<>() : w.getSenses();
+ }
+
+ public List getSynsets(String lemma) throws JWNLException {
+ return getSynsets(lemma, POS.NOUN);
+ }
+
+ public PointerTargetTree getHyponymTree(Synset synset) throws JWNLException {
+ PointerTargetTree hyponymTree = PointerUtils.getHyponymTree(synset);
+ return hyponymTree;
+ }
+
+ public POS getPOS(String posString) {
+ POS pos = null;
+ switch (posString) {
+ case "n":
+ pos = POS.NOUN;
+ break;
+ case "v":
+ pos = POS.VERB;
+ break;
+ case "a":
+ pos = POS.ADJECTIVE;
+ break;
+ case "s":
+ pos = POS.ADVERB;
+ break;
+ default:
+ throw new IllegalArgumentException("Invalid POS string - " + posString);
+ }
+ return pos;
+ }
+
+ public Synset getSynsetFromNLTKString(String nltkSynsetString) throws JWNLException {
+ String[] tokens = nltkSynsetString.split("\\.");
+ assert tokens.length == 3;
+ String lemma = tokens[0];
+ POS pos = getPOS(tokens[1]);
+ int id = Integer.parseInt(tokens[2]) - 1;
+ IndexWord w = dictionary.lookupIndexWord(pos, lemma);
+ if (w == null)
+ throw new IllegalArgumentException("Word/Lemma not found in wordnet - " + nltkSynsetString);
+ if (id >= w.getSenses().size())
+ throw new IllegalArgumentException("Invalid word sense index - " + nltkSynsetString);
+ return w.getSenses().get(id);
+ }
+
+ public List getPointers(Synset synset, PointerType type) {
+ List pointers = new ArrayList<>();
+ // strict matching i.e. instance hyponyms not in hyponyms
+ for (Pointer p : synset.getPointers(type))
+ if (p.getType().getKey().equals(type.getKey()))
+ pointers.add(p);
+ return pointers;
+ }
+
+ public Synset getFirstInTree(Synset targetSynset, PointerTargetTree tree) {
+ Queue bfsQueue = new LinkedList<>();
+ bfsQueue.add(tree.getRootNode());
+ PointerTargetTreeNode curNode;
+ PointerTargetTreeNode result = null;
+ while (result == null && bfsQueue.size() > 0) {
+ curNode = bfsQueue.remove();
+ if (curNode.hasValidChildTreeList())
+ bfsQueue.addAll(curNode.getChildTreeList());
+ if (curNode.getSynset().equals(targetSynset))
+ result = curNode;
+ }
+ return (result == null) ? null : result.getSynset();
+ }
+
+ private String synsetToString(Synset synset) {
+ StringBuilder words = new StringBuilder();
+
+ words.append("( ");
+ for (int i = 0; i < synset.getWords().size(); ++i) {
+ if (i > 0) {
+ words.append(", ");
+ }
+
+ words.append(((Word) synset.getWords().get(i)).getLemma());
+ }
+ words.append(" )");
+
+ return words.toString();
+ }
+
+ private void recurseForward(Synset n, Synset t, Map sn) throws JWNLException {
+ sn.put(n, sn.getOrDefault(n, 0) + 1);
+ for (Pointer hypPointer : getPointers(n, PointerType.HYPERNYM)) {
+ Synset c = hypPointer.getTargetSynset();
+ recurseForward(c, t, sn);
+ }
+ }
+
+ private int recurseBackward(Synset n, Synset t, Map nt) throws JWNLException {
+ int tmp = 0;
+ for (Pointer hypPointer : getPointers(n, PointerType.HYPERNYM)) {
+ Synset c = hypPointer.getTargetSynset();
+ if (!nt.containsKey(c))
+ nt.put(c, recurseBackward(c, t, nt));
+ tmp += nt.get(c);
+ }
+ nt.put(n, Math.max(1, tmp));
+ return nt.get(n);
+ }
+
+ private Map getSynsetScores(Synset synset) throws JWNLException {
+// assert synset.getPOS() == POS.NOUN;
+ if (synset.getPOS() != POS.NOUN)
+ return new HashMap<>();
+ Map synsetScores = new HashMap<>();
+
+ Map sn = new HashMap<>();
+ Map nt = new HashMap<>();
+
+ recurseForward(synset, entitySynset, sn);
+ recurseBackward(synset, entitySynset, nt);
+
+ int numPaths = nt.get(synset);
+// System.out.println("Number of paths = " + numPaths);
+
+ for (Synset countSynset : nt.keySet())
+ synsetScores.put(countSynset, (double) nt.get(countSynset) * sn.get(countSynset) / numPaths);
+
+ return synsetScores;
+ }
+
+ private Map getTypeScores(Synset synset, Map> typeToSynsets) throws JWNLException {
+ Map synsetScores = getSynsetScores(synset);
+ Map typeScores = new HashMap<>();
+ for (String type : typeToSynsets.keySet()) {
+ double typeScore = 0;
+ for (Synset typeSynset : typeToSynsets.get(type))
+ if (synsetScores.containsKey(typeSynset))
+ typeScore += synsetScores.get(typeSynset);
+ if (typeScore == 0.0) {
+ continue;
+ }
+ typeScores.put(type, typeScore);
+ }
+ return typeScores;
+ }
+
+ public Map getTypeScores(String synsetOffsetPOS,
+ Map> typeToSynsets) throws JWNLException {
+ Synset synset = getSynsetByOffset(synsetOffsetPOS);
+ return getTypeScores(synset, typeToSynsets);
+ }
+
+ public Synset getSynsetOfNoun(String readableName) throws JWNLException {
+ String[] parts = readableName.split("\\.");
+ int idx = Integer.valueOf(parts[2]);
+ Synset synset = dictionary.lookupIndexWord(POS.NOUN, parts[0]).getSenses().get(idx - 1);
+
+ return synset;
+ }
+
+ public Synset getSynsetByOffset(String synsetOffsetPOS) throws JWNLException {
+ String[] tokens = synsetOffsetPOS.split("_");
+ POS synsetPOS = getPOS(tokens[1]);
+ long synsetOffset = Long.parseLong(tokens[0]);
+ Synset synset = dictionary.getSynsetAt(synsetPOS, synsetOffset);
+ return synset;
+ }
+
+ public static void main(String[] args) throws JWNLException, CloneNotSupportedException, IOException {
+ WordNetUtils wordNetUtils = WordNetUtils.getInstance();
+
+ Synset quellSynset = wordNetUtils.getSynsets("quell", POS.VERB).get(0);
+ System.out.println(quellSynset.getPOS());
+ }
+}
\ No newline at end of file
diff --git a/finetyper/src/main/java/edu/illinois/cs/cogcomp/finetyper/wsd/WordSenseAnnotator.java b/finetyper/src/main/java/edu/illinois/cs/cogcomp/finetyper/wsd/WordSenseAnnotator.java
new file mode 100644
index 000000000..c54d87e0c
--- /dev/null
+++ b/finetyper/src/main/java/edu/illinois/cs/cogcomp/finetyper/wsd/WordSenseAnnotator.java
@@ -0,0 +1,194 @@
+package edu.illinois.cs.cogcomp.finetyper.wsd;
+
+import edu.illinois.cs.cogcomp.annotation.Annotator;
+import edu.illinois.cs.cogcomp.annotation.AnnotatorException;
+import edu.illinois.cs.cogcomp.core.datastructures.ViewNames;
+import edu.illinois.cs.cogcomp.core.datastructures.textannotation.Constituent;
+import edu.illinois.cs.cogcomp.core.datastructures.textannotation.Sentence;
+import edu.illinois.cs.cogcomp.core.datastructures.textannotation.TextAnnotation;
+import edu.illinois.cs.cogcomp.core.datastructures.textannotation.View;
+import edu.illinois.cs.cogcomp.core.utilities.configuration.ResourceManager;
+import edu.illinois.cs.cogcomp.finetyper.FinerResource;
+import edu.illinois.cs.cogcomp.finetyper.wsd.datastructure.WordAndPOS;
+import edu.illinois.cs.cogcomp.finetyper.wsd.embedding.EmbeddingSpace;
+import edu.illinois.cs.cogcomp.finetyper.wsd.math.FloatDenseVector;
+import edu.illinois.cs.cogcomp.finetyper.wsd.math.Similarity;
+import org.cogcomp.Datastore;
+import org.cogcomp.DatastoreException;
+
+import java.io.*;
+import java.util.ArrayList;
+import java.util.HashMap;
+import java.util.List;
+import java.util.Map;
+
+
+/**
+ * Created by haowu4 on 1/13/17.
+ */
+
+public class WordSenseAnnotator extends Annotator {
+
+ public static final String ANNOTATOR_NAME = "EmbeddingWSDAnnotator";
+ public final String VIEWNAME;
+
+ private EmbeddingSpace wordEmbeddings;
+ private EmbeddingSpace senseEmbeddings;
+ private Map> candidatesMaps;
+
+ private List wordToSense(String w, String pos) {
+ return candidatesMaps.getOrDefault(new WordAndPOS(w, pos), new
+ ArrayList());
+ }
+
+ public WordSenseAnnotator(String viewName, ResourceManager rm) {
+ super(viewName, new String[]{ViewNames.POS}, rm);
+ VIEWNAME = rm.getString("fine_type_wsd_viewname", ViewNames.FINE_NER_TYPE_WSD);
+ }
+
+
+ @Override
+ public void initialize(ResourceManager rm) {
+
+ try {
+ Datastore ds = FinerResource.getDefaultDatastore();
+
+ // Read word embedding.
+
+ try (InputStream input = FinerResource.getResourceInputStream(ds, FinerResource.WORD_EMBEDDING_TAR_GZ)) {
+ wordEmbeddings = EmbeddingSpace.readEmbeddingStream(input);
+ } catch (IOException e) {
+ e.printStackTrace();
+ System.err.println("Having trouble reading important resources WORD_EMBEDDING_TAR_GZ.");
+ }
+
+
+ // Read sense embedding.
+ try (InputStream input = FinerResource.getResourceInputStream(ds, FinerResource.SENSE_EMBEDDING_TAR_GZ)) {
+ senseEmbeddings = EmbeddingSpace.readEmbeddingStream(input);
+ } catch (IOException e) {
+ e.printStackTrace();
+ System.err.println("Having trouble reading important resources SENSE_EMBEDDING_TAR_GZ.");
+ }
+
+
+ candidatesMaps = new HashMap<>();
+
+ try (InputStream inputStream = FinerResource.getResourceInputStream(ds, FinerResource.WORD_POS_TO_SENSE_TAR_GZ)) {
+ try (BufferedReader br = new BufferedReader(new InputStreamReader(inputStream))) {
+
+ String line;
+
+ while ((line = br.readLine()) != null) {
+ String trimedLine = line.trim();
+ if (trimedLine.isEmpty()) {
+ continue;
+ }
+
+ String[] parts = trimedLine.split("\t");
+ String word = parts[0];
+ String pos = parts[1];
+ String[] senses = parts[2].split(" ");
+ WordAndPOS key = new WordAndPOS(word, pos);
+ List candidates = candidatesMaps.getOrDefault(key, new
+ ArrayList());
+ for (String s : senses) {
+ candidates.add(s);
+ }
+ candidatesMaps.put(key, candidates);
+ }
+ } catch (IOException e) {
+ e.printStackTrace();
+ System.err.println("Having trouble reading important resources WORD_POS_TO_SENSE_TAR_GZ.");
+ }
+ } catch (IOException e) {
+ e.printStackTrace();
+ System.err.println("Having trouble reading important resources WORD_POS_TO_SENSE_TAR_GZ.");
+ }
+
+
+ } catch (DatastoreException e) {
+ e.printStackTrace();
+ System.err.println("Having trouble connecting to Datastore.");
+ }
+
+
+ }
+
+ @Override
+ public void addView(TextAnnotation ta) throws AnnotatorException {
+ View v = new View(VIEWNAME, ANNOTATOR_NAME, ta, 1.0);
+ View tokens = ta.getView(ViewNames.TOKENS);
+ for (Sentence sentence : ta.sentences()) {
+ int startTokenId = sentence.getStartSpan();
+ int endTokenId = sentence.getStartSpan();
+ for (int i = startTokenId; i < endTokenId; i++) {
+ Constituent ct = tokens.getConstituents().get(i);
+ Map result = predict(sentence, ct);
+ if (result.isEmpty()) continue;
+ v.addConstituent(new Constituent(result, VIEWNAME, ta, ct
+ .getStartSpan(), ct.getEndSpan()));
+ }
+ }
+ ta.addView(VIEWNAME, v);
+ }
+
+ /**
+ * Map Part of speech to the convention used in the sense embedding.
+ *
+ * @param pos String of POS tag, such as VB.
+ * @return
+ */
+ public static String mapPOS(String pos) {
+ switch (pos.toLowerCase().charAt(0)) {
+ case 'v':
+ return "v";
+ case 'n':
+ return "n";
+ default:
+ return "";
+ }
+ }
+
+ /**
+ * Predict the sense of a token based on the cosine similarity of sense embedding and average word embedding in
+ * the sentence.
+ *
+ * @param sentence Sentence that contains the given constituent.
+ * @param ct The given constituent
+ * @return
+ */
+ public Map predict(Sentence sentence, Constituent ct) {
+ Map result = new HashMap<>();
+
+ String query = ct.getSurfaceForm();
+ String pos = ct.getTextAnnotation().getView(ViewNames.POS)
+ .getConstituentsCovering(ct).get(0).getLabel();
+ List senses = wordToSense(query, mapPOS(pos));
+
+ if (senses.isEmpty()) {
+ return result;
+ }
+
+ FloatDenseVector sentenceEmbedding = wordEmbeddings.getEmbeddingOrNull(sentence);
+
+
+ if (sentenceEmbedding == null) {
+ return result;
+ }
+
+ double normOfSentence = Similarity.l2norm(sentenceEmbedding);
+ for (String s : senses) {
+ FloatDenseVector senseEmbedding = senseEmbeddings.getEmbeddingOrNull(s);
+ if (senseEmbedding == null) continue;
+ double sim = Similarity.cosine(sentenceEmbedding, senseEmbedding,
+ normOfSentence,
+ Similarity.l2norm(senseEmbedding));
+ result.put(s, sim);
+ }
+
+ return result;
+ }
+
+
+}
diff --git a/finetyper/src/main/java/edu/illinois/cs/cogcomp/finetyper/wsd/datastructure/WordAndPOS.java b/finetyper/src/main/java/edu/illinois/cs/cogcomp/finetyper/wsd/datastructure/WordAndPOS.java
new file mode 100644
index 000000000..3aa40d0df
--- /dev/null
+++ b/finetyper/src/main/java/edu/illinois/cs/cogcomp/finetyper/wsd/datastructure/WordAndPOS.java
@@ -0,0 +1,42 @@
+package edu.illinois.cs.cogcomp.finetyper.wsd.datastructure;
+
+
+/**
+ * Created by haowu4 on 2/6/18.
+ * Pair of word and its part of speech tag.
+ */
+public class WordAndPOS {
+ private String word;
+ private String pos;
+
+ public WordAndPOS(String word, String pos) {
+ this.word = word;
+ this.pos = pos;
+ }
+
+ @Override
+ public boolean equals(Object o) {
+ if (this == o) return true;
+ if (o == null || getClass() != o.getClass()) return false;
+
+ WordAndPOS that = (WordAndPOS) o;
+
+ if (!word.equals(that.word)) return false;
+ return pos.equals(that.pos);
+ }
+
+ @Override
+ public int hashCode() {
+ int result = word.hashCode();
+ result = 31 * result + pos.hashCode();
+ return result;
+ }
+
+ public String getWord() {
+ return word;
+ }
+
+ public String getPos() {
+ return pos;
+ }
+}
diff --git a/finetyper/src/main/java/edu/illinois/cs/cogcomp/finetyper/wsd/embedding/EmbeddingSpace.java b/finetyper/src/main/java/edu/illinois/cs/cogcomp/finetyper/wsd/embedding/EmbeddingSpace.java
new file mode 100644
index 000000000..327437866
--- /dev/null
+++ b/finetyper/src/main/java/edu/illinois/cs/cogcomp/finetyper/wsd/embedding/EmbeddingSpace.java
@@ -0,0 +1,109 @@
+package edu.illinois.cs.cogcomp.finetyper.wsd.embedding;
+
+
+import edu.illinois.cs.cogcomp.core.datastructures.ViewNames;
+import edu.illinois.cs.cogcomp.core.datastructures.textannotation.Constituent;
+import edu.illinois.cs.cogcomp.core.datastructures.textannotation.Sentence;
+import edu.illinois.cs.cogcomp.core.datastructures.textannotation.View;
+import edu.illinois.cs.cogcomp.finetyper.wsd.math.FloatDenseVector;
+
+import java.io.*;
+import java.util.*;
+
+/**
+ * Created by haowu4 on 1/14/17.
+ * A Embedding manager.
+ */
+public class EmbeddingSpace {
+
+ Map entryToId;
+ FloatDenseVector[] embeddings;
+
+ /**
+ * Initialize a EmbeddingSpace from a file.
+ *
+ * @param inputStream Stream that contains the Embedding Table.
+ * @return
+ */
+ public static EmbeddingSpace readEmbeddingStream(InputStream inputStream) {
+ List vectors = new ArrayList<>();
+ Map toId = new HashMap<>();
+ try (BufferedReader br = new BufferedReader(new InputStreamReader(inputStream))) {
+ String line;
+ int counter = 0;
+ while ((line = br.readLine()) != null) {
+ String trimedLine = line.trim();
+ if (trimedLine.isEmpty()) {
+ continue;
+ }
+
+ String[] parts = trimedLine.split("\t");
+ if (parts.length != 2) {
+ continue;
+ }
+ String entry = parts[0];
+ String[] vecParts = parts[1].split(" ");
+ float[] vec = new float[vecParts.length];
+ for (int i = 0; i < vecParts.length; i++) {
+ vec[i] = Float.valueOf(vecParts[i]);
+ }
+ vectors.add(new FloatDenseVector(vec));
+ toId.put(entry, counter);
+ counter++;
+ }
+ } catch (IOException e) {
+ e.printStackTrace();
+ }
+ return new EmbeddingSpace(toId, vectors);
+ }
+
+ /**
+ * Default constructor.
+ *
+ * @param entryToId Lookup table for entry to index of the embeddings array.
+ * @param embeddings Array of Embeddings.
+ */
+ public EmbeddingSpace(Map entryToId, FloatDenseVector[]
+ embeddings) {
+ this.entryToId = entryToId;
+ this.embeddings = embeddings;
+ }
+
+ public EmbeddingSpace(Map toId, List
+ vectors) {
+ this(toId, vectors.toArray(new FloatDenseVector[vectors.size()]));
+ }
+
+ /**
+ * Get the embedding of a word or return null.
+ *
+ * @param word Query.
+ * @return Embedding of word query.
+ */
+ public FloatDenseVector getEmbeddingOrNull(String word) {
+ if (entryToId.containsKey(word)) {
+ return embeddings[entryToId.get(word)];
+ }
+ return null;
+ }
+
+ public FloatDenseVector getEmbeddingOrNull(Sentence sentence) {
+ View tokens = sentence.getView(ViewNames.TOKENS);
+ List constituents = tokens.getConstituents();
+ FloatDenseVector sum = null;
+ for (Constituent c : constituents) {
+ String token = c.getSurfaceForm();
+
+ FloatDenseVector dv = getEmbeddingOrNull(token);
+ if (dv == null) continue;
+ if (sum == null) {
+ sum = new FloatDenseVector(dv);
+ } else {
+ sum.iadd(dv);
+ }
+ }
+
+ return sum;
+ }
+
+}
diff --git a/finetyper/src/main/java/edu/illinois/cs/cogcomp/finetyper/wsd/math/FloatDenseVector.java b/finetyper/src/main/java/edu/illinois/cs/cogcomp/finetyper/wsd/math/FloatDenseVector.java
new file mode 100644
index 000000000..7f6235240
--- /dev/null
+++ b/finetyper/src/main/java/edu/illinois/cs/cogcomp/finetyper/wsd/math/FloatDenseVector.java
@@ -0,0 +1,73 @@
+package edu.illinois.cs.cogcomp.finetyper.wsd.math;
+
+/**
+ * Created by haowu4 on 1/13/17.
+ */
+public class FloatDenseVector {
+ float[] data;
+
+ public FloatDenseVector(int dim) {
+ this(new float[dim]);
+ }
+
+ public FloatDenseVector(float[] data) {
+ this.data = data;
+ }
+
+ /**
+ * Copy constructor.
+ *
+ * @param other
+ */
+ public FloatDenseVector(FloatDenseVector other) {
+ float[] k = other.getDataReference();
+ this.data = new float[k.length];
+ for (int i = 0; i < k.length; i++) {
+ this.data[i] = k[i];
+ }
+ }
+
+ /**
+ * Return the reference of the internal float array.
+ *
+ * @return reference of its data.
+ */
+ public float[] getDataReference() {
+ return data;
+ }
+
+ /**
+ * Inplace add another dense vector.
+ *
+ * @param v vector to add.
+ */
+ public void iadd(FloatDenseVector v) {
+ float[] dv = v.getDataReference();
+ for (int i = 0; i < dv.length; i++) {
+ this.data[i] += dv[i];
+ }
+ }
+
+ /**
+ * Inplace divide by a constant scalar.
+ *
+ * @param v constant to divided by.
+ */
+ public void idivide(float v) {
+ for (int i = 0; i < data.length; i++) {
+ this.data[i] /= v;
+ }
+ }
+
+ /**
+ * Inplace subtract another vector.
+ *
+ * @param v constant to subtract.
+ */
+ public void isub(FloatDenseVector v) {
+ float[] dv = v.getDataReference();
+ for (int i = 0; i < dv.length; i++) {
+ this.data[i] -= dv[i];
+ }
+ }
+}
diff --git a/finetyper/src/main/java/edu/illinois/cs/cogcomp/finetyper/wsd/math/Similarity.java b/finetyper/src/main/java/edu/illinois/cs/cogcomp/finetyper/wsd/math/Similarity.java
new file mode 100644
index 000000000..bb3872c5c
--- /dev/null
+++ b/finetyper/src/main/java/edu/illinois/cs/cogcomp/finetyper/wsd/math/Similarity.java
@@ -0,0 +1,56 @@
+package edu.illinois.cs.cogcomp.finetyper.wsd.math;
+
+/**
+ * Created by haowu4 on 1/13/17.
+ */
+public class Similarity {
+ /**
+ * Compute cosine similarity of two vectors.
+ * You need to provide a precomputed l2norm for both vector.
+ * This function is useful when you want to avoid re-computation of the l2norm of one vector.
+ *
+ * @param v1 First vector.
+ * @param v2 Second vector.
+ * @param v1n L2 Norm of first vector.
+ * @param v2n L2 Norm of second vector.
+ * @return Cosine similarity of v1 and v2.
+ */
+ public static double cosine(FloatDenseVector v1, FloatDenseVector v2, double v1n,
+ double v2n) {
+ float[] v1_ = v1.getDataReference();
+ float[] v2_ = v2.getDataReference();
+ double r = 0;
+ for (int i = 0; i < v1_.length; i++) {
+ r += (v1_[i] * v2_[i]);
+ }
+ return r / (v1n * v2n);
+
+ }
+
+ /**
+ * Compute cosine similarity of two vectors.
+ *
+ * @param v1 First vector.
+ * @param v2 Second vector.
+ * @return Cosine similarity of v1 and v2.
+ */
+ public static double cosine(FloatDenseVector v1, FloatDenseVector v2) {
+ return cosine(v1, v2, l2norm(v1), l2norm(v2));
+ }
+
+ /**
+ * Compute L2 l2norm of the vector.
+ *
+ * @param v1 Vector to compute l2norm.
+ * @return L2 l2norm of the vector.
+ */
+ public static double l2norm(FloatDenseVector v1) {
+ float[] v1_ = v1.getDataReference();
+ double r = 0;
+ for (int i = 0; i < v1_.length; i++) {
+ r += (v1_[i] * v1_[i]);
+ }
+ return Math.sqrt(r);
+
+ }
+}
diff --git a/finetyper/src/main/resources/finer_resource/figer.xiang.label b/finetyper/src/main/resources/finer_resource/figer.xiang.label
new file mode 100644
index 000000000..3da329893
--- /dev/null
+++ b/finetyper/src/main/resources/finer_resource/figer.xiang.label
@@ -0,0 +1,10442 @@
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+. O
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+Bruce B-/person
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+. O
+
+Currently O
+, O
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+. O
+
+To O
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+, O
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+, O
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+, O
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+. O
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+The B-/event
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+. O
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+Open O
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+, O
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+, O
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+members O
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+. O
+
+It O
+will O
+take O
+place O
+Feb. B-/time
+16 I-/time
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+20 I-/time
+. O
+
+Some O
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+the O
+UW B-/organization,/organization/educational_institution
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+. O
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+“ O
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+, O
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+Campbell I-/person/author,/person
+, O
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+. O
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+“ O
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+. O
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+Other O
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+, O
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+, O
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+A O
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+Federal B-/location/city,/location
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+. O
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+Prosecutors O
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+the O
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+, O
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+, O
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+Highway I-/transportation/road,/location,/transportation
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+, O
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+security O
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+scheme O
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+women O
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+, O
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+Attorney I-/title
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+A. I-/person
+Durkan I-/person
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+
+“ O
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+to O
+protect O
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+business O
+by O
+offering O
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+, O
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+, O
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+58-year-old O
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+resident O
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+. O
+
+Investigators O
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+Also O
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+, O
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+the O
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+Jung B-/person
+San I-/person
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+, O
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+Seattle B-/location/city,/location
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+, O
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+, O
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+Agents O
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+investigating O
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+. O
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+an O
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+ring O
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+In O
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+, O
+prosecutors O
+suspect O
+Kim B-/person
+, O
+the O
+club O
+’s O
+owner O
+, O
+tried O
+to O
+bribe O
+an O
+undercover O
+officer O
+in O
+the O
+case O
+. O
+
+Kim B-/person
+offered O
+$ O
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+in O
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+immigration O
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+allow O
+undocumented O
+Korean O
+women O
+to O
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+to O
+the O
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+, O
+prosecutors O
+said O
+. O
+
+Kim B-/person
+has O
+been O
+charged O
+with O
+five O
+crimes O
+related O
+to O
+the O
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+accusations O
+. O
+
+Seattle B-/government,/government/government
+City I-/government,/government/government
+Council I-/government,/government/government
+members O
+said O
+Friday O
+they O
+are O
+troubled O
+that O
+Mayor B-/person/politician,/person
+Mike I-/person/politician,/person
+McGinn I-/person/politician,/person
+would O
+hire O
+a O
+consultant O
+to O
+advise O
+the O
+city O
+on O
+the O
+development O
+of O
+a O
+new O
+, O
+state-of-the-art O
+sports O
+facility O
+that O
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+draw O
+an O
+NBA B-/organization,/organization/sports_league
+team O
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+to O
+Seattle B-/location/city,/location
+— O
+without O
+conferring O
+with O
+them O
+. O
+
+" O
+I O
+understand O
+vague O
+rumors O
+are O
+one O
+thing O
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+
+But O
+if O
+they O
+[ O
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+Mayor I-/government_agency
+'s I-/government_agency
+Office I-/government_agency
+] O
+felt O
+this O
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+important O
+enough O
+to O
+enter O
+into O
+a O
+contract O
+, O
+I O
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+it O
+would O
+have O
+been O
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+to O
+notify O
+the O
+council O
+at O
+that O
+point O
+, O
+" O
+said O
+Councilmember B-/person/politician,/person
+Richard I-/person/politician,/person
+Conlin I-/person/politician,/person
+. O
+
+McGinn B-/person
+agreed O
+to O
+a O
+$ O
+19,500-per-month O
+contract O
+in O
+July B-/time
+with O
+a O
+nationally O
+prominent O
+sports-facilities O
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+, O
+Carl B-/person
+Hirsh I-/person
+. O
+
+McGinn B-/person
+is O
+allowed O
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+spend O
+up O
+to O
+$ O
+250,000 O
+on O
+contracts O
+before O
+he O
+'s O
+required O
+to O
+notify O
+the O
+council O
+. O
+
+The O
+council O
+knew O
+nothing O
+of O
+Hirsh B-/person
+'s O
+hiring O
+, O
+nor O
+of O
+the O
+mayor O
+'s O
+discussions O
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+a O
+potential O
+investment O
+group O
+that O
+has O
+acquired O
+property O
+in O
+the O
+Sodo B-/location
+District I-/location
+, O
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+The B-/news_agency,/organization,/organization/company
+Seattle I-/news_agency,/organization,/organization/company
+Times I-/news_agency,/organization,/organization/company
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+the O
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+bring O
+an O
+NBA B-/organization,/organization/sports_league
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+Seattle B-/location/city,/location
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+" O
+It O
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+have O
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+nice O
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+know O
+about O
+it O
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+said O
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+Clark I-/person/politician,/person
+. O
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+. O
+" O
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+The B-/news_agency,/organization,/organization/company
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+headed O
+by O
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+Francisco I-/location/county,/location/city,/location
+hedge-fund O
+manager O
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+Hansen I-/person
+, O
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+Seattle B-/location/city,/location
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+McGinn B-/person
+said O
+he O
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+internal O
+city O
+team O
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+He O
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+and O
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+team O
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+conclusion O
+that O
+additional O
+expertise O
+was O
+warranted O
+, O
+including O
+hiring O
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+. O
+
+The O
+city O
+also O
+hired O
+a O
+local O
+bond O
+attorney O
+, O
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+Spitzer I-/person
+, O
+in O
+September B-/time
+to O
+advise O
+it O
+on O
+financial O
+and O
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+, O
+including O
+Initiative B-/written_work
+91 I-/written_work
+, O
+the O
+2006 O
+voter-approved O
+initiative O
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+requires O
+the O
+city O
+to O
+earn O
+a O
+return O
+on O
+investment O
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+any O
+sports O
+venue O
+. O
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+The B-/news_agency,/organization,/organization/company
+Seattle I-/news_agency,/organization,/organization/company
+Times I-/news_agency,/organization,/organization/company
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+of O
+the O
+consultants O
+' O
+contracts O
+under O
+the O
+state O
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+Records I-/law
+Act I-/law
+in O
+December B-/time
+. O
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+McGinn B-/person
+'s O
+office O
+initially O
+said O
+the O
+documents O
+would O
+not O
+be O
+released O
+until O
+February B-/time
+, O
+but O
+changed O
+course O
+and O
+made O
+them O
+available O
+Friday B-/time
+. O
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+" O
+My O
+direction O
+to O
+city O
+staff O
+and O
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+experts O
+is O
+to O
+focus O
+on O
+two O
+goals O
+: O
+1 O
+) O
+Seriously O
+explore O
+and O
+consider O
+the O
+opportunity O
+, O
+and O
+2 O
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+Ensure O
+that O
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+of O
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+public O
+'s O
+direction O
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+I-91 B-/written_work
+, O
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+said O
+in O
+an O
+emailed O
+statement O
+. O
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+McGinn B-/person
+reiterated O
+that O
+the O
+city O
+has O
+not O
+received O
+a O
+concrete O
+proposal O
+. O
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+If O
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+, O
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+said O
+, O
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+with O
+the O
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+Council I-/government_agency
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+be O
+my O
+first O
+step O
+in O
+moving O
+forward O
+. O
+" O
+
+Clark B-/person
+said O
+she O
+appreciated O
+that O
+the O
+contract O
+with O
+Hirsh B-/person
+included O
+protecting O
+the O
+city O
+'s O
+financial O
+interest O
+and O
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+any O
+proposal O
+. O
+
+" O
+We O
+know O
+that O
+the O
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+left O
+an O
+empty O
+arena O
+. O
+
+How O
+do O
+you O
+convince O
+the O
+city O
+to O
+support O
+a O
+new O
+arena O
+given O
+what O
+they O
+know O
+about O
+taxpayers O
+being O
+left O
+holding O
+the O
+mortgage O
+? O
+" O
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+Clark B-/person
+asked O
+. O
+
+Hirsh B-/person
+worked O
+for O
+former O
+Sonics B-/organization/sports_team,/organization
+owner O
+Howard B-/person
+Schultz I-/person
+, O
+when O
+the O
+team O
+was O
+evaluating O
+how O
+to O
+make O
+KeyArena B-/location,/building/sports_facility,/building
+financially O
+profitable O
+. O
+
+Schultz B-/person
+sold O
+the O
+team O
+in O
+2006 O
+to O
+Clay B-/person
+Bennett I-/person
+. O
+
+Bennett B-/person
+said O
+the O
+city-owned O
+arena O
+lacked O
+the O
+amenities O
+to O
+support O
+an O
+NBA B-/organization,/organization/company,/organization/sports_league
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+and O
+moved O
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+team O
+to O
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+City I-/location/city,/location
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+failing O
+to O
+secure O
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+new O
+arena O
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+. O
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+" O
+I O
+understand O
+the O
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+the O
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+, O
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+said O
+Friday B-/time
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+Hirsh B-/person
+, O
+managing O
+partner O
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+Sports I-/organization
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+arena O
+, O
+the O
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+Center I-/location,/building/sports_facility,/building
+. O
+
+He O
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+the O
+city O
+of O
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+the O
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+Magic I-/organization/sports_team,/organization
+for O
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+downtown O
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+a O
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+York I-/location/city,/location
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+. O
+
+Hirsh B-/person
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+it O
+would O
+cost O
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+million O
+to O
+build O
+a O
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+, O
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+Nets I-/organization/sports_team,/organization
+will O
+spend O
+$ O
+800 O
+million O
+on O
+one O
+in O
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+. O
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+A O
+large O
+portion O
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+the O
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+of O
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+, O
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+said O
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+He O
+said O
+an O
+arena O
+could O
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+built O
+on O
+as O
+little O
+as O
+7 O
+to O
+8 O
+acres O
+, O
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+is O
+about O
+the O
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+the O
+parcel O
+the O
+Hansen B-/organization,/organization/company
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+has O
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+interest O
+in O
+acquiring O
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+A O
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+corporation O
+headed O
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+Hansen B-/organization,/organization/company
+recently O
+purchased O
+3 O
+acres O
+on O
+the O
+east O
+side O
+of O
+Occidental B-/transportation/road,/location,/transportation
+Avenue I-/transportation/road,/location,/transportation
+South I-/transportation/road,/location,/transportation
+between O
+South B-/transportation/road,/location,/transportation
+Massachusetts I-/transportation/road,/location,/transportation
+and O
+South B-/transportation/road,/location,/transportation
+Holgate I-/transportation/road,/location,/transportation
+streets O
+. O
+
+Hirsh O
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+example O
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+a O
+small-market O
+city O
+making O
+a O
+new O
+arena O
+pencil O
+out O
+financially O
+. O
+
+The B-/location,/building/sports_facility,/building
+AT&T I-/location,/building/sports_facility,/building
+Center I-/location,/building/sports_facility,/building
+is O
+home O
+to O
+three O
+teams O
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+, O
+the O
+WNBA B-/organization,/organization/sports_league
+'s O
+Silver B-/organization/sports_team,/organization
+Stars I-/organization/sports_team,/organization
+and O
+the O
+American B-/organization,/organization/sports_league
+Hockey I-/organization,/organization/sports_league
+League I-/organization,/organization/sports_league
+'s O
+Rampage B-/organization/sports_team,/organization
+. O
+
+It O
+also O
+hosts O
+a O
+three-week O
+rodeo O
+as O
+well O
+as O
+concerts O
+and O
+events O
+. O
+
+The O
+building O
+was O
+a O
+partnership O
+between O
+the O
+city O
+and O
+the O
+Spurs B-/organization/sports_team,/organization
+, O
+with O
+San B-/location/city,/location
+Antonio I-/location/city,/location
+voters O
+approving O
+a O
+visitor O
+'s O
+tax O
+on O
+hotels O
+, O
+motels O
+and O
+rental O
+cars O
+to O
+finance O
+three-fourths O
+of O
+the O
+costs O
+and O
+the O
+team O
+contributing O
+the O
+rest O
+, O
+said O
+Rick B-/person
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+for O
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+Spurs I-/organization/sports_team,/organization
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+. O
+
+Hirsh B-/person
+said O
+many O
+pieces O
+remain O
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+together O
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+make O
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+arena O
+work O
+in O
+Seattle B-/location/city,/location
+. O
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+the O
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+, O
+that O
+there O
+is O
+no O
+firm O
+proposal O
+. O
+
+But O
+he O
+said O
+the O
+developer O
+is O
+very O
+motivated O
+. O
+
+" O
+Do O
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+easy O
+? O
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+No O
+. O
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+Do O
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+think O
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+can O
+put O
+together O
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+deal O
+? O
+
+Yes O
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+" O
+
+A O
+deal O
+also O
+might O
+help O
+resurrect O
+the O
+political O
+fortunes O
+of O
+McGinn B-/person/politician,/person
+, O
+who O
+in O
+August B-/time
+lost O
+the O
+fight O
+over O
+the O
+waterfront O
+tunnel O
+, O
+which O
+he O
+stridently O
+opposed O
+, O
+and O
+suffered O
+defeat O
+of O
+a O
+proposed O
+$ O
+60 O
+vehicle-license O
+fee O
+, O
+which O
+he O
+favored O
+. O
+
+Christian B-/person
+Sinderman I-/person
+, O
+a O
+political O
+consultant O
+, O
+said O
+that O
+while O
+the O
+number O
+of O
+people O
+who O
+want O
+professional O
+basketball O
+returned O
+to O
+Seattle B-/location/city,/location
+is O
+high O
+, O
+the O
+number O
+who O
+think O
+it O
+'s O
+essential O
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+low O
+. O
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+Building O
+a O
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+arena O
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+bringing O
+a O
+team O
+back O
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+is O
+not O
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+game-changer O
+, O
+" O
+Sinderman B-/person
+said O
+. O
+
+But O
+he O
+did O
+acknowledge O
+that O
+if O
+an O
+arena O
+got O
+built O
+under O
+terms O
+favorable O
+to O
+the O
+city O
+, O
+" O
+It O
+could O
+show O
+that O
+this O
+mayor O
+is O
+capable O
+of O
+cutting O
+a O
+deal O
+and O
+delivering O
+. O
+" O
+
+Homeless O
+children O
+in O
+the O
+U-District B-/location
+will O
+get O
+the O
+opportunity O
+to O
+show O
+their O
+art O
+pieces O
+in O
+an O
+exhibit O
+held O
+at O
+the O
+UW B-/organization,/location,/organization/educational_institution
+School I-/organization,/location,/organization/educational_institution
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+Social I-/organization,/location,/organization/educational_institution
+Work I-/organization,/location,/organization/educational_institution
+this O
+winter O
+quarter O
+. O
+
+The O
+pieces O
+were O
+compiled O
+at O
+the O
+Sanctuary B-/organization,/location,/building
+Art I-/organization,/location,/building
+Center I-/organization,/location,/building
+, O
+a O
+non-profit O
+, O
+University B-/organization,/location
+Lutheran I-/organization,/location
+Church-based I-/organization,/location
+organization O
+designed O
+to O
+teach O
+creativity O
+to O
+youth O
+. O
+
+Homeless O
+youth O
+and O
+young O
+adults O
+ages O
+13 O
+to O
+25 O
+attend O
+sessions O
+at O
+the O
+art O
+center O
+. O
+
+About O
+14 O
+young O
+adults O
+at O
+a O
+time O
+go O
+to O
+drop-in O
+sessions O
+where O
+they O
+create O
+drawings O
+, O
+paintings O
+, O
+sculptures O
+, O
+T-shirt O
+designs O
+, O
+stained O
+glass O
+, O
+play O
+guitar O
+and O
+drums O
+, O
+and O
+work O
+on O
+other O
+art O
+they O
+find O
+soothing O
+. O
+
+“ O
+Some O
+art O
+pieces O
+are O
+very O
+telling O
+, O
+” O
+said O
+Jamie B-/person
+Lee I-/person
+, O
+director O
+of O
+development O
+for O
+the O
+Sanctuary O
+Art O
+Center O
+. O
+
+“ O
+There O
+is O
+one O
+piece O
+in O
+our O
+permanent O
+collection O
+that O
+shows O
+a O
+person O
+walking O
+with O
+a O
+single O
+rain O
+cloud O
+over O
+his O
+head O
+… O
+[ O
+representing O
+] O
+that O
+bad O
+luck O
+follows O
+you O
+everywhere O
+. O
+” O
+
+The O
+Sanctuary B-/organization,/location,/building
+Art I-/organization,/location,/building
+Center I-/organization,/location,/building
+also O
+has O
+an O
+education O
+program O
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+partnered O
+with O
+the O
+Interagency B-/organization,/organization/educational_institution
+Academy I-/organization,/organization/educational_institution
+, O
+an O
+alternative O
+school O
+in O
+Seattle B-/location/city,/location
+that O
+allows O
+young O
+adults O
+to O
+get O
+credit O
+toward O
+their O
+GEDs O
+by O
+participating O
+in O
+the O
+program O
+. O
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+Art O
+pieces O
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+students O
+of O
+the O
+education O
+program O
+are O
+shown O
+in O
+the O
+exhibit O
+as O
+well O
+. O
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+At O
+the O
+art O
+center O
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+learn O
+different O
+lessons O
+every O
+day O
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+focusing O
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+just O
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+piece O
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+amount O
+of O
+time O
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+some O
+of O
+their O
+art O
+is O
+shown O
+to O
+the O
+public O
+when O
+completed O
+. O
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+The O
+opening O
+reception O
+for O
+the O
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+held O
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+UW B-/organization,/location,/organization/educational_institution
+School I-/organization,/location,/organization/educational_institution
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+Social I-/organization,/location,/organization/educational_institution
+Work I-/organization,/location,/organization/educational_institution
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+11 I-/time
+, O
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+the O
+showing O
+continues O
+until O
+March B-/time
+15 I-/time
+. O
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+Madeline B-/person
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+said O
+homeless O
+youth O
+do O
+n’t O
+usually O
+get O
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+show O
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+artwork O
+to O
+the O
+public O
+, O
+and O
+most O
+of O
+the O
+art O
+pieces O
+are O
+very O
+powerful O
+and O
+passionate O
+. O
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+“ O
+We O
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+get O
+the O
+work O
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+the O
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+the O
+community O
+so O
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+feel O
+appreciated O
+and O
+accomplished O
+, O
+” O
+Lee O
+said O
+. O
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+Some O
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+homes O
+, O
+the O
+trauma O
+of O
+everyday O
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+said O
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+Michael B-/person
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+For O
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+homeless O
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+experience O
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+success O
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+the O
+use O
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+artistic O
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+” O
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+“ O
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+place O
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+for O
+children O
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+the O
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+up O
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+children O
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+opportunity O
+to O
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+community O
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+Art O
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+all O
+over O
+the O
+Seattle B-/location/city,/location
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+sporadically O
+throughout O
+the O
+year O
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+Some O
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+to O
+play O
+music O
+rather O
+than O
+drawing O
+on O
+a O
+canvas O
+. O
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+Sets O
+of O
+drums O
+and O
+other O
+instruments O
+are O
+available O
+at O
+the O
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+center O
+, O
+which O
+will O
+also O
+hold O
+a O
+benefit O
+concert O
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+14 I-/time
+. O
+
+“ O
+[ O
+Sanctuary B-/organization
+] O
+teaches O
+creativity O
+as O
+an O
+outlet O
+for O
+the O
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+and O
+the O
+things O
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+going O
+through O
+, O
+” O
+Lee B-/person
+said O
+. O
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+“ O
+Creativity O
+[ O
+is O
+] O
+almost O
+a O
+form O
+of O
+therapy O
+. O
+” O
+
+Washington O
+women O
+’s O
+head O
+basketball O
+coach O
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+McGuff I-/person/coach,/person
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+his O
+team O
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+of O
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+major O
+strengths O
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+this O
+season O
+. O
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+A O
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+spate O
+of O
+injuries O
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+the O
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+the O
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+The O
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+cause O
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+concern O
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+the O
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+Rogers B-/person/athlete,/person
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+UW B-/organization,/organization/educational_institution
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+leading O
+scorer O
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+points O
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+game-time O
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+State I-/organization/sports_team,/organization
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+“ O
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+to O
+think O
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+now O
+, O
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+the O
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+“ O
+I O
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+for O
+the O
+best O
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+Alone O
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+But O
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+week O
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+the O
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+that O
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+the O
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+attempting O
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+her O
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+Argens I-/person/athlete,/person
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+Williams I-/person/athlete,/person
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+Argens B-/person
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+been O
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+consistent O
+second O
+banana O
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+the O
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+Williams B-/person
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+the O
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+the O
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+the O
+bench O
+in O
+others O
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+mainstay O
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+the O
+UW O
+rotation O
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+The O
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+picked O
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+worse O
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+by O
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+bug O
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+After O
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+trip O
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+play O
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+But O
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+that O
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+cross-state O
+rivalry O
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+“ O
+It O
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+fact O
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+“ O
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+about O
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+thinking O
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+our O
+hands O
+full O
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+six O
+different O
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+and O
+9.4 O
+points O
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+game O
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+Unlike O
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+late O
+have O
+mainly O
+relied O
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+Davis I-/person/athlete,/person
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+the O
+scoring O
+load O
+, O
+they O
+have O
+no O
+real O
+offensive O
+pecking O
+order O
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+
+That O
+fact O
+, O
+as O
+McGuff B-/person
+discussed O
+, O
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+make O
+them O
+a O
+challenge O
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+prepare O
+for O
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+
+“ O
+They O
+’re O
+very O
+balanced O
+, O
+and O
+it O
+makes O
+it O
+a O
+little O
+bit O
+difficult O
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+” O
+he O
+said O
+. O
+
+“ O
+They O
+do O
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+win O
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+person O
+dominates O
+the O
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+If O
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+sitting O
+by O
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+They O
+'ve O
+seen O
+the O
+69-year-old O
+several O
+times O
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+even O
+more O
+likely O
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+heard O
+him O
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+Change I-/written_work
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+he O
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+, O
+followed O
+automatically O
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+Have O
+a O
+great O
+day O
+, O
+sir O
+; O
+have O
+a O
+great O
+day O
+, O
+madam O
+. O
+" O
+
+Known O
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+“ O
+the O
+Real O
+Change O
+guy O
+” O
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+most O
+, O
+Edward B-/person
+McClain I-/person
+has O
+been O
+sitting O
+at O
+his O
+spot O
+outside O
+the O
+grocery O
+store O
+for O
+18 O
+years O
+. O
+
+“ O
+Everybody O
+knows O
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+in O
+this O
+area O
+, O
+” O
+he O
+said O
+. O
+
+Before O
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+“ O
+the O
+Real O
+Change O
+guy O
+, O
+” O
+McClain B-/person
+was O
+a O
+student O
+, O
+a O
+caseworker O
+, O
+and O
+a O
+cook O
+. O
+
+He O
+was O
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+in O
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+, I-/location
+Miss. I-/location
+, O
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+University I-/organization,/location,/organization/educational_institution
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+University I-/organization,/organization/educational_institution,/location
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+He O
+was O
+a O
+caseworker O
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+left O
+the O
+job O
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+found O
+himself O
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+sick O
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+the O
+environments O
+in O
+which O
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+worked O
+. O
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+He O
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+30 O
+years O
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+baking O
+and O
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+experience O
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+After O
+18 O
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+one O
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+“ O
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+of O
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+greatest O
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+stories O
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+Harris B-/person
+said O
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+“ O
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+Employees O
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+their O
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+For O
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+he O
+does O
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+work O
+schedule O
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+However O
+, O
+he O
+said O
+he O
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+seven O
+days O
+a O
+week O
+sitting O
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+metal O
+folding O
+chair O
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+for O
+10 O
+to O
+12 O
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+day O
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+“ O
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+here O
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+away O
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+“ O
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+Nobody O
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+; O
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+got O
+any O
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+I O
+’ve O
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+to O
+worry O
+about O
+. O
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+Nobody O
+is O
+there O
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+so O
+what O
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+? O
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+The O
+TV O
+? O
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+No O
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+The O
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+of O
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+He O
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+“ O
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+that O
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+he O
+said O
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+“ O
+Things O
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+She O
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+“ O
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+“ O
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+‘ O
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+“ O
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+“ O
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+There O
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+that O
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+money O
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+the O
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+I O
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+McClain B-/person
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+He O
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+“ O
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+“ O
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+Exonerees O
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+He O
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+The O
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+“ O
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+“ O
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+“ O
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+telling O
+such O
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+“ O
+There O
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+research O
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+it O
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+“ O
+That O
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+Police O
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+’re O
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+interested O
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+They O
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+than O
+they O
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+Despite O
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+said O
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+“ O
+I O
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+cultures O
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+said O
+. O
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+“ O
+If O
+you O
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+one O
+student O
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+, O
+then O
+how O
+are O
+you O
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+The O
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+determine O
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+Jonathan B-/person
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+such O
+a O
+commission O
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+recent O
+years O
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+“ O
+I O
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+to O
+explore O
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+about O
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+there O
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+something O
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+review O
+the O
+idea O
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+ASC B-/organization
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+ask O
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+A O
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+held O
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+. O
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+Discussion O
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+a O
+struggle O
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+such O
+a O
+large O
+community O
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+According O
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+This O
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+In O
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+Taing B-/person
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+“ O
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+“ O
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+Taing B-/person
+said O
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+shrink O
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+workload O
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+funding O
+that O
+reaches O
+his O
+constituents O
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+“ O
+A O
+lot O
+of O
+the O
+work O
+that O
+I O
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+trying O
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+all O
+of O
+the O
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+groups O
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+the O
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+, O
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+Taing B-/person
+said O
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+“ O
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+actually O
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+workload O
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+Ramachandra B-/person
+said O
+she O
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+these O
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+as O
+Bhangra B-/event
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+“ O
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+people O
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+all O
+of O
+the O
+country O
+, O
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+as O
+one O
+RSO O
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+too O
+hard O
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+put O
+it O
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+“ O
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+A O
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+“ O
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+there O
+are O
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+the O
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+positive O
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+their O
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+UW O
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+the O
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+Alliance I-/organization
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+works O
+to O
+raise O
+statewide O
+awareness O
+of O
+global O
+health O
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+“ O
+Be O
+the O
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+members O
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+economy O
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+and O
+creating O
+a O
+global O
+business O
+. O
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+“ O
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+with O
+Foster O
+’s O
+[ O
+contest O
+] O
+is O
+to O
+generate O
+innovative O
+ideas O
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+kind O
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+from O
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+, O
+and O
+we O
+’re O
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+to O
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+a O
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+said O
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+“ O
+Be O
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+Change O
+” O
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+panel O
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+in O
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+Part O
+of O
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+criteria O
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+even O
+students O
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+opportunity O
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+discuss O
+their O
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+someone O
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+relevant O
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+as O
+the O
+Bill B-/organization
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+Melinda I-/organization
+Gates I-/organization
+Foundation I-/organization
+; O
+the O
+international O
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+PATH O
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+Children I-/location,/building/hospital,/building
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+Hospital I-/location,/building/hospital,/building
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+IHME B-/organization
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+“ O
+There O
+’s O
+the O
+chance O
+not O
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+win O
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+the O
+idea O
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+students O
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+might O
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+career O
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+” O
+Heisel B-/person
+said O
+. O
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+“ O
+This O
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+a O
+way O
+for O
+young O
+people O
+to O
+get O
+their O
+foot O
+in O
+the O
+door O
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+To O
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+and O
+submit O
+a O
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+a O
+malaria O
+education O
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+The O
+latter O
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+freshman O
+Jamie B-/person
+Choe I-/person
+chose O
+. O
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+She O
+entered O
+the O
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+team O
+of O
+four O
+bioengineering O
+classmates O
+after O
+hearing O
+of O
+it O
+through O
+an O
+email O
+. O
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+Her O
+team O
+’s O
+proposal O
+describes O
+a O
+water-filtration O
+device O
+, O
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+a O
+microfiber O
+bag O
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+separates O
+clean O
+water O
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+dirty O
+water O
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+Choe B-/person
+’s O
+team O
+, O
+dubbed O
+“ O
+Ali B-/organization
+Baba I-/organization
+, O
+” O
+hopes O
+that O
+this O
+basic O
+contraption O
+could O
+be O
+used O
+in O
+countries O
+such O
+as O
+India B-/location/country,/location
+, O
+which O
+is O
+currently O
+plagued O
+with O
+a O
+water O
+crisis O
+. O
+
+“ O
+It O
+sounds O
+like O
+a O
+simple O
+solution O
+, O
+but O
+it O
+can O
+save O
+lives O
+in O
+other O
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+Choe B-/person
+said O
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+UW O
+faculty O
+member O
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+students O
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+“ O
+Ali O
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+bioengineering O
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+last O
+quarter O
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+Taylor B-/person
+said O
+the O
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+way O
+for O
+students O
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+easily O
+engage O
+with O
+important O
+global O
+issues O
+, O
+even O
+when O
+lacking O
+technical O
+knowledge O
+and O
+experience O
+that O
+comes O
+with O
+age O
+. O
+
+“ O
+With O
+global-health O
+problems O
+, O
+a O
+lot O
+of O
+the O
+solutions O
+are O
+pretty O
+simple O
+, O
+” O
+she O
+said O
+. O
+
+“ O
+In O
+fact O
+, O
+sometimes O
+it O
+’s O
+the O
+simple O
+solutions O
+that O
+work O
+best O
+. O
+
+Students O
+can O
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+immersed O
+in O
+this O
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+they O
+feel O
+like O
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+a O
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+this O
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+lives O
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+The O
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+in O
+the O
+room O
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+when O
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+Adirondack B-/organization,/government_agency
+Park I-/organization,/government_agency
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+Adirondack B-/building,/building/hotel
+Club I-/building,/building/hotel
+and I-/building,/building/hotel
+Resort I-/building,/building/hotel
+Friday O
+morning O
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+After O
+Executive O
+Director O
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+Martino I-/person
+announced O
+the O
+final O
+vote O
+count O
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+round O
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+erupted O
+from O
+the O
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+Tupper B-/person
+Lakers I-/person
+and O
+local O
+government O
+representatives O
+packed O
+into O
+the O
+APA B-/organization
+'s O
+board O
+room O
+. O
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+As O
+people O
+started O
+to O
+make O
+statements O
+after O
+the O
+decision O
+, O
+there O
+were O
+also O
+more O
+than O
+a O
+few O
+happy O
+tears O
+. O
+
+More O
+than O
+one O
+person O
+called O
+the O
+decision O
+historic O
+. O
+
+" O
+I O
+look O
+at O
+this O
+as O
+a O
+historic O
+moment O
+, O
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+Gerald B-/person
+Delaney I-/person
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+chairman O
+of O
+the O
+Local B-/organization
+Government I-/organization
+Review I-/organization
+Board I-/organization
+, O
+said O
+during O
+a O
+public O
+comment O
+session O
+after O
+the O
+vote O
+. O
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+" O
+This O
+is O
+the O
+largest O
+project O
+this O
+agency O
+has O
+ever O
+, O
+ever O
+had O
+a O
+party O
+to O
+give O
+permits O
+to O
+. O
+" O
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+A O
+day O
+of O
+twists O
+and O
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+the O
+scenarios O
+significantly O
+higher O
+stress O
+ratings O
+than O
+the O
+male O
+veterinary O
+surgeons O
+. O
+
+Stress O
+ratings O
+were O
+not O
+influenced O
+by O
+number O
+of O
+years O
+in O
+practice O
+( O
+which O
+ranged O
+from O
+one O
+to O
+more O
+than O
+25 O
+years O
+) O
+. O
+
+The O
+results O
+show O
+that O
+veterinary O
+surgeons O
+regularly O
+face O
+ethical O
+dilemmas O
+and O
+that O
+they O
+find O
+these O
+stressful O
+. O
+
+This O
+has O
+implications O
+for O
+the O
+wellbeing O
+of O
+veterinary O
+surgeons O
+and O
+supports O
+the O
+case O
+for O
+increased O
+provision O
+of O
+training O
+and O
+support O
+, O
+especially O
+for O
+those O
+who O
+entered O
+the O
+profession O
+before O
+undergraduate O
+ethics O
+teaching O
+was O
+widely O
+available O
+. O
+
+The O
+study O
+is O
+from O
+the O
+College B-/organization,/organization/educational_institution
+of I-/organization,/organization/educational_institution
+Medical I-/organization,/organization/educational_institution
+, I-/organization,/organization/educational_institution
+Veterinary I-/organization,/organization/educational_institution
+& I-/organization,/organization/educational_institution
+Life I-/organization,/organization/educational_institution
+Sciences I-/organization,/organization/educational_institution
+, O
+University B-/organization,/organization/educational_institution
+of I-/organization,/organization/educational_institution
+Glasgow I-/organization,/organization/educational_institution
+, O
+Glasgow B-/location/city,/location
+, O
+UK B-/location/country,/location
+. O
+
+Questionnaires O
+were O
+distributed O
+to O
+all O
+members O
+of O
+the O
+Companion B-/organization
+Animal I-/organization
+Society I-/organization
+, O
+part O
+of O
+the O
+New B-/organization
+Zealand I-/organization
+Veterinary I-/organization
+Association I-/organization
+. O
+
+The O
+questionnaire O
+gathered O
+information O
+on O
+the O
+demographics O
+of O
+respondents O
+, O
+obtained O
+an O
+assessment O
+by O
+veterinarians O
+of O
+the O
+level O
+of O
+pain O
+associated O
+with O
+clinical O
+procedures O
+for O
+rabbits O
+and O
+guinea O
+pigs O
+, O
+established O
+the O
+willingness O
+of O
+respondents O
+to O
+perform O
+these O
+, O
+obtained O
+information O
+on O
+the O
+anaesthetics O
+and O
+analgesics O
+used O
+during O
+these O
+procedures O
+, O
+and O
+the O
+factors O
+associated O
+with O
+selecting O
+different O
+types O
+of O
+drug O
+. O
+
+The O
+level O
+of O
+knowledge O
+of O
+respondents O
+and O
+interest O
+in O
+continuing O
+education O
+regarding O
+pain O
+recognition O
+and O
+management O
+in O
+these O
+species O
+was O
+also O
+assessed O
+. O
+
+RESULTS O
+: O
+A O
+total O
+of O
+155/610 O
+( O
+25.4 O
+% O
+) O
+responses O
+were O
+obtained O
+. O
+
+Rodents O
+and O
+lagomorphs O
+accounted O
+for O
+0-5 O
+% O
+of O
+the O
+total O
+caseload O
+in O
+the O
+practices O
+of O
+most O
+( O
+133/155 O
+; O
+86 O
+% O
+) O
+respondents O
+. O
+
+Anticipated O
+pain O
+scores O
+differed O
+for O
+different O
+procedures O
+( O
+p O
+< O
+0.001 O
+) O
+but O
+did O
+not O
+differ O
+between O
+male O
+and O
+female O
+respondents O
+or O
+between O
+species O
+of O
+animal O
+. O
+
+There O
+were O
+also O
+differences O
+between O
+procedures O
+in O
+the O
+respondents O
+willingness O
+to O
+perform O
+them O
+( O
+p O
+< O
+0.001 O
+) O
+. O
+
+Selection O
+of O
+anaesthetics O
+and O
+analgesics O
+was O
+mainly O
+determined O
+by O
+the O
+amount O
+of O
+information O
+available O
+for O
+the O
+species O
+, O
+and O
+ketamine O
+was O
+the O
+drug O
+most O
+commonly O
+used O
+. O
+
+Many O
+veterinarians O
+felt O
+their O
+level O
+of O
+knowledge O
+regarding O
+the O
+recognition O
+and O
+treatment O
+of O
+pain O
+in O
+rabbits O
+and O
+guinea O
+pigs O
+was O
+inadequate O
+. O
+
+CONCLUSIONS O
+: O
+Rabbits O
+and O
+guinea O
+pigs O
+represented O
+a O
+small O
+percentage O
+of O
+the O
+caseload O
+of O
+veterinarians O
+in O
+this O
+study O
+. O
+
+From O
+an O
+animal O
+welfare O
+perspective O
+this O
+may O
+be O
+of O
+concern O
+as O
+, O
+anecdotally O
+, O
+these O
+species O
+are O
+common O
+pets O
+. O
+
+However O
+, O
+further O
+study O
+regarding O
+the O
+actual O
+number O
+of O
+these O
+animals O
+kept O
+as O
+pets O
+in O
+New B-/location/country,/location
+Zealand I-/location/country,/location
+is O
+required O
+for O
+validation O
+. O
+
+Veterinary O
+perception O
+of O
+anticipated O
+pain O
+, O
+and O
+willingness O
+to O
+perform O
+procedures O
+, O
+varied O
+between O
+procedures O
+, O
+but O
+was O
+not O
+influenced O
+by O
+gender O
+of O
+veterinarian O
+. O
+
+Many O
+respondents O
+felt O
+their O
+knowledge O
+of O
+issues O
+relating O
+to O
+pain O
+recognition O
+, O
+anaesthesia B-/medicine,/medicine/symptom
+and O
+analgesia B-/medicine,/medicine/symptom
+in O
+rabbits O
+and O
+guinea O
+pigs O
+was O
+inadequate O
+. O
+
+CLINICAL O
+RELEVANCE O
+: O
+Understanding O
+how O
+veterinarians O
+choose O
+to O
+provide O
+analgesia O
+or O
+when O
+they O
+decline O
+to O
+perform O
+surgeries O
+for O
+rabbits O
+and O
+guinea O
+pigs O
+may O
+provide O
+significant O
+information O
+for O
+targeting O
+professional O
+development O
+, O
+and O
+improving O
+animal O
+welfare O
+. O
+
+The O
+study O
+is O
+from O
+the O
+Unitec B-/organization,/organization/educational_institution
+Institute I-/organization,/organization/educational_institution
+of I-/organization,/organization/educational_institution
+Technology I-/organization,/organization/educational_institution
+, O
+Auckland B-/location/city,/location
+, O
+New B-/location/country,/location
+Zealand I-/location/country,/location
+. O
+
diff --git a/finetyper/src/main/resources/finer_resource/figer_hier.json b/finetyper/src/main/resources/finer_resource/figer_hier.json
new file mode 100644
index 000000000..336d2a27f
--- /dev/null
+++ b/finetyper/src/main/resources/finer_resource/figer_hier.json
@@ -0,0 +1,428 @@
+{
+ "typeInfos": {
+ "art": {
+ "is_figer_type": true,
+ "parent": "work"
+ },
+ "art.film": {
+ "is_figer_type": true,
+ "parent": "work"
+ },
+ "astral_body": {
+ "is_figer_type": true,
+ "parent": "geography"
+ },
+ "award": {
+ "is_figer_type": true,
+ "parent": null
+ },
+ "broadcast_program": {
+ "is_figer_type": true,
+ "parent": "work"
+ },
+ "building": {
+ "is_figer_type": true,
+ "parent": null
+ },
+ "building.airport": {
+ "is_figer_type": true,
+ "parent": "building"
+ },
+ "building.dam": {
+ "is_figer_type": true,
+ "parent": "building"
+ },
+ "building.hospital": {
+ "is_figer_type": true,
+ "parent": "building"
+ },
+ "building.hotel": {
+ "is_figer_type": true,
+ "parent": "building"
+ },
+ "building.library": {
+ "is_figer_type": true,
+ "parent": "building"
+ },
+ "building.power_station": {
+ "is_figer_type": true,
+ "parent": "building"
+ },
+ "building.restaurant": {
+ "is_figer_type": true,
+ "parent": "building"
+ },
+ "building.sports_facility": {
+ "is_figer_type": true,
+ "parent": "building"
+ },
+ "building.theater": {
+ "is_figer_type": true,
+ "parent": "building"
+ },
+ "computer.programming_language": {
+ "is_figer_type": true,
+ "parent": "norpl"
+ },
+ "education.department": {
+ "is_figer_type": true,
+ "parent": "organization"
+ },
+ "education.educational_degree": {
+ "is_figer_type": true,
+ "parent": "award"
+ },
+ "event": {
+ "is_figer_type": true,
+ "parent": null
+ },
+ "event.attack": {
+ "is_figer_type": true,
+ "parent": "event"
+ },
+ "event.election": {
+ "is_figer_type": true,
+ "parent": "event"
+ },
+ "event.military_conflict": {
+ "is_figer_type": true,
+ "parent": "event"
+ },
+ "event.natural_disaster": {
+ "is_figer_type": true,
+ "parent": "event"
+ },
+ "event.protest": {
+ "is_figer_type": true,
+ "parent": "event"
+ },
+ "event.sports_event": {
+ "is_figer_type": true,
+ "parent": "event"
+ },
+ "event.terrorist_attack": {
+ "is_figer_type": true,
+ "parent": "event.attack"
+ },
+ "finance.currency": {
+ "is_figer_type": true,
+ "parent": null
+ },
+ "finance.stock_exchange": {
+ "is_figer_type": true,
+ "parent": "organization"
+ },
+ "food": {
+ "is_figer_type": true,
+ "parent": "product"
+ },
+ "geography": {
+ "is_figer_type": true,
+ "parent": "location"
+ },
+ "geography.glacier": {
+ "is_figer_type": true,
+ "parent": "geography"
+ },
+ "geography.island": {
+ "is_figer_type": true,
+ "parent": "geography"
+ },
+ "geography.mountain": {
+ "is_figer_type": true,
+ "parent": "geography"
+ },
+ "government.government": {
+ "is_figer_type": true,
+ "parent": "organization"
+ },
+ "government.political_party": {
+ "is_figer_type": true,
+ "parent": "organization"
+ },
+ "government_agency": {
+ "is_figer_type": true,
+ "parent": "government.government"
+ },
+ "language": {
+ "is_figer_type": true,
+ "parent": "norpl"
+ },
+ "law": {
+ "is_figer_type": true,
+ "parent": null
+ },
+ "living_thing": {
+ "is_figer_type": true,
+ "parent": null
+ },
+ "livingthing.animal": {
+ "is_figer_type": true,
+ "parent": "living_thing"
+ },
+ "location": {
+ "is_figer_type": true,
+ "parent": null
+ },
+ "location.body_of_water": {
+ "is_figer_type": true,
+ "parent": "geography"
+ },
+ "location.bridge": {
+ "is_figer_type": true,
+ "parent": "building"
+ },
+ "location.cemetery": {
+ "is_figer_type": true,
+ "parent": "location"
+ },
+ "location.city": {
+ "is_figer_type": true,
+ "parent": "location"
+ },
+ "location.country": {
+ "is_figer_type": true,
+ "parent": "location"
+ },
+ "location.county": {
+ "is_figer_type": true,
+ "parent": "location"
+ },
+ "location.province": {
+ "is_figer_type": true,
+ "parent": "location"
+ },
+ "medicine": {
+ "is_figer_type": false,
+ "parent": null
+ },
+ "medicine.drug": {
+ "is_figer_type": true,
+ "parent": "medicine"
+ },
+ "medicine.medical_treatment": {
+ "is_figer_type": true,
+ "parent": "medicine"
+ },
+ "medicine.symptom": {
+ "is_figer_type": true,
+ "parent": "medicine"
+ },
+ "metropolitan_transit.transit_line": {
+ "is_figer_type": true,
+ "parent": "organization.company"
+ },
+ "military": {
+ "is_figer_type": true,
+ "parent": "organization"
+ },
+ "music": {
+ "is_figer_type": true,
+ "parent": "work"
+ },
+ "news_agency": {
+ "is_figer_type": true,
+ "parent": "organization.company"
+ },
+ "newspaper": {
+ "is_figer_type": true,
+ "parent": "written_work"
+ },
+ "norpl": {
+ "is_figer_type": false,
+ "parent": null
+ },
+ "organization": {
+ "is_figer_type": true,
+ "parent": null
+ },
+ "organization.airline": {
+ "is_figer_type": true,
+ "parent": "organization.company"
+ },
+ "organization.company": {
+ "is_figer_type": true,
+ "parent": "organization"
+ },
+ "organization.educational_institution": {
+ "is_figer_type": true,
+ "parent": "organization"
+ },
+ "organization.fraternity_sorority": {
+ "is_figer_type": true,
+ "parent": "organization"
+ },
+ "organization.sports_league": {
+ "is_figer_type": true,
+ "parent": "organization"
+ },
+ "organization.sports_team": {
+ "is_figer_type": true,
+ "parent": "organization"
+ },
+ "organization.terrorist_organization": {
+ "is_figer_type": true,
+ "parent": "organization"
+ },
+ "park": {
+ "is_figer_type": true,
+ "parent": "location"
+ },
+ "people.ethnicity": {
+ "is_figer_type": true,
+ "parent": "norpl"
+ },
+ "person": {
+ "is_figer_type": true,
+ "parent": null
+ },
+ "person.actor": {
+ "is_figer_type": true,
+ "parent": "person.artist"
+ },
+ "person.architect": {
+ "is_figer_type": true,
+ "parent": "person"
+ },
+ "person.artist": {
+ "is_figer_type": true,
+ "parent": "person"
+ },
+ "person.athlete": {
+ "is_figer_type": true,
+ "parent": "person"
+ },
+ "person.author": {
+ "is_figer_type": true,
+ "parent": "person"
+ },
+ "person.coach": {
+ "is_figer_type": true,
+ "parent": "person"
+ },
+ "person.director": {
+ "is_figer_type": true,
+ "parent": "person.artist"
+ },
+ "person.doctor": {
+ "is_figer_type": true,
+ "parent": "person"
+ },
+ "person.engineer": {
+ "is_figer_type": true,
+ "parent": "person"
+ },
+ "person.monarch": {
+ "is_figer_type": true,
+ "parent": "person"
+ },
+ "person.musician": {
+ "is_figer_type": true,
+ "parent": "person.artist"
+ },
+ "person.politician": {
+ "is_figer_type": true,
+ "parent": "person"
+ },
+ "person.religious_leader": {
+ "is_figer_type": true,
+ "parent": "person"
+ },
+ "person.soldier": {
+ "is_figer_type": true,
+ "parent": "person"
+ },
+ "person.terrorist": {
+ "is_figer_type": true,
+ "parent": "person"
+ },
+ "play": {
+ "is_figer_type": true,
+ "parent": "work"
+ },
+ "product": {
+ "is_figer_type": true,
+ "parent": null
+ },
+ "product.airplane": {
+ "is_figer_type": true,
+ "parent": "product"
+ },
+ "product.camera": {
+ "is_figer_type": true,
+ "parent": "product"
+ },
+ "product.car": {
+ "is_figer_type": true,
+ "parent": "product"
+ },
+ "product.computer": {
+ "is_figer_type": true,
+ "parent": "product"
+ },
+ "product.engine_device": {
+ "is_figer_type": true,
+ "parent": "product"
+ },
+ "product.instrument": {
+ "is_figer_type": true,
+ "parent": "product"
+ },
+ "product.mobile_phone": {
+ "is_figer_type": true,
+ "parent": "product"
+ },
+ "product.ship": {
+ "is_figer_type": true,
+ "parent": "product"
+ },
+ "product.spacecraft": {
+ "is_figer_type": true,
+ "parent": "product"
+ },
+ "product.weapon": {
+ "is_figer_type": true,
+ "parent": "product.instrument"
+ },
+ "rail.railway": {
+ "is_figer_type": true,
+ "parent": "organization.company"
+ },
+ "software": {
+ "is_figer_type": true,
+ "parent": null
+ },
+ "time": {
+ "is_figer_type": true,
+ "parent": null
+ },
+ "title": {
+ "is_figer_type": true,
+ "parent": null
+ },
+ "train": {
+ "is_figer_type": true,
+ "parent": "product"
+ },
+ "transit": {
+ "is_figer_type": true,
+ "parent": "organization.company"
+ },
+ "transportation.road": {
+ "is_figer_type": true,
+ "parent": null
+ },
+ "visual_art.color": {
+ "is_figer_type": true,
+ "parent": null
+ },
+ "work": {
+ "is_figer_type": false,
+ "parent": null
+ },
+ "written_work": {
+ "is_figer_type": true,
+ "parent": "work"
+ }
+ }
+}
\ No newline at end of file
diff --git a/finetyper/src/main/resources/finer_resource/ontonote_type_mapping.json b/finetyper/src/main/resources/finer_resource/ontonote_type_mapping.json
new file mode 100644
index 000000000..0a28506a9
--- /dev/null
+++ b/finetyper/src/main/resources/finer_resource/ontonote_type_mapping.json
@@ -0,0 +1,24 @@
+{
+ "ANIMAL": "living_thing",
+ "CARDINAL": null,
+ "DATE": "time",
+ "EVENT": "event",
+ "FAC": "building",
+ "GPE": "location",
+ "LANGUAGE": "norpl",
+ "LAW": "law",
+ "LOC": "location",
+ "MEDICINE": "medicine",
+ "MONEY": "finance.currency",
+ "NORP": "norpl",
+ "ORDINAL": null,
+ "ORG": "organization",
+ "PERCENT": null,
+ "PERSON": "person",
+ "PRODUCT": "product",
+ "QUANTITY": null,
+ "ROAD": "transportation.road",
+ "TIME": "time",
+ "TITLE": "title",
+ "WORK_OF_ART": "work"
+}
\ No newline at end of file
diff --git a/finetyper/src/main/resources/finer_resource/patterndb.txt b/finetyper/src/main/resources/finer_resource/patterndb.txt
new file mode 100644
index 000000000..43988d27b
--- /dev/null
+++ b/finetyper/src/main/resources/finer_resource/patterndb.txt
@@ -0,0 +1,931 @@
+2 Championships in 5 event.sports_event event
+1 Scotia Route 1 transportation.road
+0 Supreme Court 2 government_agency
+2 Open – Doubles 0 event.sports_event
+2 Senate election in 3 event.election
+2 National Cemetery 0 location.cemetery
+1 States House of 3 event.election
+2 futsal team 0 organization.sports_team
+2 rugby union team 0 organization.sports_team
+3 the line 0 product.ship
+2 Open - Singles 0 event.sports_event
+2 Pomeranian Voivodeship 0 location.city
+0 United States 5 event event.election
+1 men's national 3 organization.sports_team
+0 Governor of 1 title
+1 Ohio Infantry 0 military
+1 Wimbledon Championships 3 event.sports_event event
+2 AG 1 organization.company
+1 Premier League 1 event
+1 at the 3 event
+1 national rugby union team 0 organization.sports_team
+2 Volunteer Infantry Regiment 0 military
+1 University, main campus 0 organization.educational_institution organization organization.company
+1 West Pomeranian 1 location.city
+2 University of 1 organization.educational_institution
+0 Mexican Federal 2 transportation.road
+1 Virginia Infantry 0 military
+4 College, main campus 0 organization.educational_institution
+3 Ice Hockey 0 organization.sports_team
+2 and the 1 written_work art.film
+1 International Airport 0 building.airport
+0 Athletics at the 8 event event.sports_event
+0 Wisconsin Highway 1 transportation.road
+1 Wisconsin Volunteer Infantry Regiment 0 military
+2 Air Squadron 0 military
+2 National Football 1 organization.sports_team
+1 Independent School 1 organization
+0 Oklahoma State Highway 1 transportation.road
+0 Maine State 2 transportation.road
+3 - Doubles 0 event.sports_event
+0 California State Route 1 transportation.road
+0 Athletics at 8 event event.sports_event
+1 School of 3 organization.educational_institution
+1 Indiana Infantry 1 military
+2 Film Festival 0 event
+0 Count of 1 title
+0 Missouri Route 1 transportation.road
+0 Georgia State 2 transportation.road
+3 Water Aerodrome 0 building.airport
+4 GmbH 1 organization.company
+1 national cricket 1 organization.sports_team
+2 Silesian Voivodeship 0 location.city
+1 Football Association 0 organization.sports_league
+4 for the 4 government.government government_agency
+2 Championships in Athletics 5 event.sports_event
+1 County Sheriff's 1 military government_agency
+0 Province of 1 location.province
+2 Halifax Regional Municipality 0 location.body_of_water
+1 Institute of 3 organization.educational_institution
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+0 Colorado State 2 transportation.road
+1 District Council 2 event.election
+1 York state 2 event.election
+1 Mens National Football 1 organization.sports_team
+0 Quebec Route 1 transportation.road
+1 University of 2 organization.educational_institution
+1 School of 1 organization.educational_institution
+3 Football Team 0 organization.sports_team
+2 Football Club 0 organization.sports_team
+2 House of 3 event.election
+1 Fed Cup team 0 organization.sports_team
+5 elections in 3 event.election
+0 Texas State 2 transportation.road
+2 Force Base 0 building.airport
+1 District, Hokkaido 0 location.county
+4 – Doubles 0 event event.sports_event
+2 Grand Prix 0 event event.sports_event
+3 football team 0 organization.sports_team
+2 GmbH 0 organization.company
+0 North Carolina 2 transportation.road
+1 States Ambassador 2 title
+1 Mens National 2 organization.sports_team
+0 Duke of 1 title
+3 Corp. 0 organization.company
+3 LLC 2 organization.company
+4 International Airport 0 building.airport
+4 Summer Olympics – 2 event event.sports_event
+1 Illinois Volunteer Infantry 1 military
+1 Medical Center 0 building.hospital
+1 Federal Route 1 transportation.road
+1 County / 3 location.city location
+3 of Representatives elections in 2 event.election
+1 Party of 2 government.political_party
+0 Farm to Market 2 transportation.road
+2 Open – Men's 1 event.sports_event
+4 Representatives elections in 3 event.election
+2 Football Team 0 organization.sports_team
+2 of the 1 music game broadcast_program art.film written_work product.ship
+3 School, main campus 0 organization.educational_institution
+1 Air Base 0 building.airport
+1 Democratic Party 0 government.political_party
+3 Court for 5 government.government government_agency
+0 United States District 7 government.government government_agency
+2 House of Representatives 4 event.election
+0 GmbH 2 organization.company
+0 University of 2 organization.sports_team organization.educational_institution
+1 State Highway 1 transportation.road
+0 Indiana State Road 1 transportation.road
+1 Co. 2 organization.company
+0 U.S. Route 1 transportation.road
+5 Olympics – 4 event.sports_event event
+9 metre freestyle 0 event.sports_event
+4 Inc. 1 organization.company
+3 College of 3 organization.educational_institution
+0 Solar eclipse of 3 event
+2 Open – Women's 1 event.sports_event
+3 – Women's Singles 0 event event.sports_event
+2 Kentucky Volunteer 1 military
+1 States House of 6 event.election
+0 Ohio State Route 1 transportation.road
+0 Second Battle of 1 event.military_conflict
+4 main campus 0 location organization.educational_institution organization.company organization
+0 Communist Party 3 government.political_party
+1 LLC 0 organization.company
+2 Mens Basketball 0 organization.sports_team
+3 of Representatives 4 event.election
+1 Act of 1 law
+1 County Airport 0 building.airport
+2 College, main 1 organization.educational_institution organization
+2 Community College, main campus 0 organization.educational_institution
+1 Sign Language 0 language
+2 election, 2010 0 event.election
+0 California State 2 transportation.road
+0 Alberta Highway 1 transportation.road
+0 Farm to Market Road 1 transportation.road
+2 Senate election in 2 event event.election
+0 Prime Minister of 1 title
+1 College of 3 organization.educational_institution
+2 Senate election 3 event event.election
+2 state election, 1 event.election
+1 III of 1 person.monarch
+1 Field Artillery 1 military
+1 State University, main 1 organization.educational_institution
+3 - Women's Singles 0 event.sports_event
+1 States House of Representatives 2 event.election
+1 Operations Group 0 military
+0 United States 6 event.election
+2 Refueling Squadron 0 military
+2 Regional Airport 0 building.airport
+3 Football League 0 organization.sports_league
+1 national rugby 2 organization.sports_team
+1 ship of the line 0 product.ship
+4 Mens Football 0 organization.sports_team
+1 II of 1 person.monarch
+1 state election, 1 event.election
+0 Washington State Route 1 transportation.road
+1 States Senate 4 event event.election
+2 Halifax Regional 1 location.body_of_water
+3 High School 0 organization.educational_institution organization
+1 Department of 3 government_agency
+1 High School, main campus 0 organization.educational_institution
+1 States House of Representatives 5 event.election
+0 Earl of 1 title
+2 cricket team 0 organization.sports_team
+3 of Representatives elections 4 event.election
+0 Indiana State 2 transportation.road
+1 Democratic Party of 1 government.political_party
+2 Mens Football 0 organization.sports_team
+1 University of 5 organization.educational_institution
+1 County Courthouse 0 building
+3 School of 1 organization.educational_institution
+2 of Technology, main 1 organization.educational_institution
+0 Athletics at 9 event event.sports_event
+1 University of 3 organization.educational_institution organization
+1 School of 2 organization.educational_institution
+0 New Hampshire 2 transportation.road
+1 Cricket Club 0 organization.sports_team
+0 Florida State Road 1 transportation.road
+0 Capture of 1 event.military_conflict
+0 First Battle 2 event.military_conflict
+1 Indiana Infantry Regiment 0 military
+4 GmbH 0 organization.company
+3 School, main 1 organization.educational_institution
+2 District Court 6 government.government government_agency
+0 United States House 6 event.election
+1 Davis Cup 1 organization.sports_team
+4 Summer Olympics 0 event
+2 Championships in Athletics 4 event.sports_event event
+2 GmbH 1 organization.company
+1 rail crash 0 event.natural_disaster
+1 States Senate election 4 event.election
+0 New Jersey 2 transportation.road
+0 Bishop of 1 title
+1 Institute of 2 organization.educational_institution
+0 Battle of 4 event.military_conflict
+4 Representatives elections, 1 event.election
+1 National Highway 1 transportation.road
+1 Men's Soccer Team 0 organization.sports_team
+5 Olympics – Men's 3 event.sports_event event
+3 Corp. 1 organization.company
+0 British Rail Class 1 train
+3 election in 3 event.election
+2 Borough Council election, 1 event.election
+0 Battle of 3 event.military_conflict
+1 Pomeranian Voivodeship 0 location.city
+0 Battle of the 2 event.military_conflict
+2 Sheriff's Office 0 military government_agency
+1 People's Party 0 government.political_party
+0 Order of 1 title
+1 County / 2 location location.city
+0 Georgia State Route 1 transportation.road
+3 GmbH 0 organization.company
+2 Men's Basketball 0 organization.sports_team
+4 Summer Olympics 3 event event.sports_event
+1 Mic River 0 location.body_of_water
+1 Institute of 1 organization.educational_institution
+1 Party of 3 government.political_party
+1 Wisconsin Volunteer 2 military
+0 Tennessee State Route 1 transportation.road
+1 States District Court for 5 government.government government_agency
+1 national futsal 1 organization.sports_team
+2 Men's Football 0 organization.sports_team
+1 Air Expeditionary 1 military
+0 European route 1 transportation.road
+2 High School, main 1 organization.educational_institution
+1 State University 3 organization.sports_team
+4 hockey team 0 organization.sports_team
+2 election, 2009 0 event.election
+1 national football 1 organization.sports_team
+4 Inc. 2 organization.company
+1 Puerto Rico 0 location.county
+1 ship of the 1 product.ship
+1 Sheriff of 1 title
+0 Journal of 2 written_work
+4 and Technology 0 organization.educational_institution
+2 LLC 2 organization.company
+2 at the 6 event.sports_event
+1 Regiment Kentucky 2 military
+1 African Class 2 train
+1 Fed Cup 1 organization.sports_team
+1 Air Defense 1 military
+2 University, main 1 organization.educational_institution organization
+1 High School, main 1 organization.educational_institution
+3 Film Festival 0 event
+0 Japan National Route 1 transportation.road
+3 School of 3 organization.educational_institution
diff --git a/finetyper/src/test/java/edu/illinois/cs/cogcomp/finetyper/FinerResourceUpload.java b/finetyper/src/test/java/edu/illinois/cs/cogcomp/finetyper/FinerResourceUpload.java
new file mode 100644
index 000000000..bb970f18e
--- /dev/null
+++ b/finetyper/src/test/java/edu/illinois/cs/cogcomp/finetyper/FinerResourceUpload.java
@@ -0,0 +1,37 @@
+package edu.illinois.cs.cogcomp.finetyper;
+
+import io.minio.errors.InvalidEndpointException;
+import io.minio.errors.InvalidPortException;
+import org.cogcomp.Datastore;
+import org.cogcomp.DatastoreException;
+
+import java.io.File;
+
+import static org.junit.Assert.*;
+
+/**
+ * Created by haowu4 on 2/7/18.
+ */
+public class FinerResourceUpload {
+ public static void main(String[] args) throws InvalidPortException, InvalidEndpointException, DatastoreException {
+ String accessKey = "7BDP8NOBCLRHDENUDZ1H";
+ String secretKey = "zkTS6t8OsmXuVHqClpDMlwaG6wKvLy/uKz3aDUbL";
+ String serverAddress = "http://127.0.0.1:9000";
+
+ String baseFolder = "/data/fine-tpying-package";
+
+ Datastore datastore = new Datastore(serverAddress, accessKey, secretKey);
+ String[] toupload = new String[]{
+ FinerResource.WORD_EMBEDDING_TAR_GZ,
+ FinerResource.SENSE_EMBEDDING_TAR_GZ,
+ FinerResource.KB_BIAS_RESOURCE_TAR_GZ,
+ FinerResource.WORD_POS_TO_SENSE_TAR_GZ,
+ FinerResource.SYNSET2TYPE_TAR_GZ
+ };
+
+ for (String file : toupload) {
+ datastore.publishFile(FinerResource.FINER_RESOURCE_GROUP_ID, file, 1.0, new File(baseFolder, file).getAbsolutePath());
+ }
+
+ }
+}
\ No newline at end of file
diff --git a/finetyper/src/test/java/edu/illinois/cs/cogcomp/finetyper/TestFiger.java b/finetyper/src/test/java/edu/illinois/cs/cogcomp/finetyper/TestFiger.java
new file mode 100644
index 000000000..d3c91e05c
--- /dev/null
+++ b/finetyper/src/test/java/edu/illinois/cs/cogcomp/finetyper/TestFiger.java
@@ -0,0 +1,113 @@
+package edu.illinois.cs.cogcomp.finetyper;
+
+import edu.illinois.cs.cogcomp.annotation.AnnotatorException;
+import edu.illinois.cs.cogcomp.annotation.BasicAnnotatorService;
+import edu.illinois.cs.cogcomp.annotation.BasicTextAnnotationBuilder;
+import edu.illinois.cs.cogcomp.core.datastructures.ViewNames;
+import edu.illinois.cs.cogcomp.core.datastructures.textannotation.Constituent;
+import edu.illinois.cs.cogcomp.core.datastructures.textannotation.TextAnnotation;
+import edu.illinois.cs.cogcomp.core.datastructures.textannotation.View;
+import edu.illinois.cs.cogcomp.core.utilities.configuration.ResourceManager;
+import edu.illinois.cs.cogcomp.finetyper.finer.FinerAnnotator;
+import edu.illinois.cs.cogcomp.finetyper.finer.FinerTyperFactory;
+import edu.illinois.cs.cogcomp.finetyper.finer.datastructure.types.TypeSystem;
+import edu.illinois.cs.cogcomp.finetyper.wsd.WordSenseAnnotator;
+import edu.illinois.cs.cogcomp.finetyper.wsd.math.FloatDenseVector;
+import edu.illinois.cs.cogcomp.pipeline.main.PipelineFactory;
+import org.apache.commons.io.FileUtils;
+import org.apache.commons.io.LineIterator;
+import org.cogcomp.DatastoreException;
+
+import java.io.*;
+import java.util.ArrayList;
+import java.util.List;
+import java.util.Properties;
+
+
+/**
+ * Created by haowu4 on 1/31/17.
+ */
+public class TestFiger {
+
+ public static void printColumn(TextAnnotation ta) {
+ View view = ta.getView(ViewNames.FINE_NER_TYPE);
+ String[] tokens = ta.getTokens();
+ String[] bios = new String[tokens.length];
+ String[] types = new String[tokens.length];
+
+ for (int i = 0; i < tokens.length; i++) {
+ bios[i] = "O";
+ types[i] = null;
+ }
+ for (Constituent c : view.getConstituents()) {
+ for (int j = c.getStartSpan(); j < c.getEndSpan(); j++) {
+ bios[j] = "I";
+ types[j] = String.join(",", c.getLabelsToScores().keySet());
+ }
+
+ bios[c.getStartSpan()] = "B";
+ }
+
+ for (int i = 0; i < tokens.length; i++) {
+ String label = "O";
+ if (null != types[i]) {
+ label = String.format("%s-%s", bios[i], types[i]);
+ }
+ System.out.println(String.format("%s\t%s", tokens[i], label));
+ }
+ }
+
+ public static List loadFigers() throws
+ IOException, AnnotatorException {
+ List sentences = new ArrayList<>();
+ List tas = new ArrayList<>();
+
+ try (BufferedReader br = new BufferedReader(
+ new InputStreamReader(
+ ClassLoader.getSystemResourceAsStream("finer_resource/figer.xiang.label")))) {
+ String line;
+ BasicAnnotatorService bas = PipelineFactory.buildPipeline(ViewNames.POS, ViewNames.NER_ONTONOTES);
+ while ((line = br.readLine()) != null) {
+ line = line.trim();
+ if (line.isEmpty()) {
+ List doc = new ArrayList<>();
+ String[] x = new String[sentences.size()];
+ for (int i = 0; i < sentences.size(); i++) {
+ x[i] = sentences.get(i);
+ }
+ doc.add(x);
+ TextAnnotation ta = BasicTextAnnotationBuilder
+ .createTextAnnotationFromTokens(doc);
+ ta = bas.annotateTextAnnotation(ta, false);
+ ta.getView(ViewNames.POS);
+ ta.getView(ViewNames.NER_ONTONOTES);
+ tas.add(ta);
+ sentences = new ArrayList<>();
+ } else {
+ String w = line.split("\t")[0];
+ sentences.add(w);
+ }
+ }
+ } catch (IOException e) {
+ e.printStackTrace();
+ }
+
+
+ return tas;
+ }
+
+ public static void main(String[] args) throws IOException,
+ AnnotatorException, DatastoreException {
+ List inputs = loadFigers();
+ WordSenseAnnotator wsd = new WordSenseAnnotator(ViewNames.FINE_NER_TYPE_WSD, new ResourceManager(new Properties()));
+ FinerTyperFactory factory = new FinerTyperFactory();
+ FinerAnnotator finer = factory.getAnnotator();
+ for (TextAnnotation ta : inputs) {
+ wsd.addView(ta);
+ finer.addView(ta);
+ printColumn(ta);
+ System.out.println();
+ }
+
+ }
+}
diff --git a/pom.xml b/pom.xml
index 27fe4e73e..6e33211d0 100644
--- a/pom.xml
+++ b/pom.xml
@@ -33,6 +33,7 @@
verbsense
pipeline
dataless-classifier
+ finetyper
external/external-commons
external/clausie