Spark-nlp

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1.2.3

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Bugfixes
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* Sentence detection not properly bounding punctuation marks
* Sentence detection abbreviations feature disabled by default, since it is a slow feature and not necessary benefitial
* Sentence detection punctuation bounds improved algorithm performance by removing redundant formatting
* Fixed a bug causing sentiment analysis not to work when using normalized tokens that may cause tokens to be deleted from sentence
* Fixed Resource Helper text reading missing first line from text stream. More improvements to come later.

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Other
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CRF NER progress, word embeddings support. Not yet officially released.

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1.2.2

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New features
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* Finisher parameter to export output as Array

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1.2.1

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Bugfixes
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* Finisher not properly deleting annotation columns even when set to true explicitly

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1.2.0

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New features
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* New annotator: CRF NER
* New transformer: Token Assembler
* Added custom bounds parameter in sentence detector
* Added custom pattern parameter in Normalizer
* SpellChecker able to train from text files as dataset
* Typesafe configuration may now be read from disk at runtime

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Performance improvements
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* Enabled and suggested KRYO Serializer for better pipeline write-read

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Code improvements
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* Pack/Unpack in annotators leads to better code reutilization
* ResourceHelper reduced io responsibility
* Annotations centralized main result and Finisher improvements

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Bugfixes
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* RegexMatcher fixed to read from input files properly
* DocumentAssembler fixed relative positioning

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Release framework
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* Better package release readiness for different repositories
* Organization package name change due to central's standards

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