John Snow Labs Spark-NLP 2.0.4: Fixes for dependency parser and pretrained models
We are excited about the Spark NLP workshop (spark-nlp-workshop repository) being so useful for many users.
Now we also made a step forward by moving the website's documentation to an easy to maintain Jekyll template with Markdown. Spark NLP library received key bug fixes
on this release. Thanks to the community for reporting issues on GitHub. Much more to come, as always.
Bugfixes
- Fixed DependencyParser and TypedDependencyParser working inaccurately
- Fixed a bug preventing a load of WordEmbeddingsModel class from python
- Fixed wrong pre-trained model names preventing some pre-trained models to work properly
- Fixed BertEmbeddings not being capable of loading from file due to a reader exception
Documentation
- Website documentation migrated to GitHub wiki page (WIP)
Developer API
- OcrHelper now reports failed file name when throwing exceptions (Thanks @kgeis)
- Fixed Annotation function explodeAnnotations to consider replacing output column scenarios
- Fixed TRAVIS CI unit tests