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John Snow Labs Spark-NLP 1.5.1: Better pretrained models, downloader improvements
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@saif-ellafi saif-ellafi released this 16 Apr 20:48
· 8281 commits to master since this release
1.5.1
24c9394

Overview

This release is an enhancement release to 1.5.0 which includes improved downloader properties and better annotator defaults.
Also, assertion status models have been included as pretrained, which are models trained on top of Glove Stanford word embeddings

Enhancements

  • SentenceDetector has now a useCustomOnly param which enforces into using only the custom bounds provided (thanks @atomobianco)
  • Normalizer defaults to not lowerCase words leads to better implicit accuracy in pipelines (thanks @marek.modry)
  • SpellChecker defaults to be case sensitive leads to better accuracy
  • DateMatcher improved speed performance
  • com.johnsnowlabs.annotator._ in Scala now also includes RecursivePipelines and LightPipelines for easier imports
  • ModelDownloader has been improved with better directory management

Models

  • New Assertion Status (LogisticRegression and DeepLearning) pretrained models now available
  • Vivekn, Basic and Advanced pretrained Pipelines improved accuracy (thanks @marek.modry)

Other

  • S3 library dependencies updated

Contributors

atomobianco
Assets 2
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