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Update Spark NLP version to 3.4.4
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R/dependencies.R

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spark_nlp_version <- "3.4.2"
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spark_nlp_version <- "3.4.4"
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spark_jsl_version <- function() {
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secretCode <- Sys.getenv("SPARK_NLP_SECRET_CODE", unset = NA)

README.md

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* AlbertForSequenceClassification
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* AnnotationMerger
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* BertForSequenceClassification
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* CamemBertEmbeddings
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* DeBertaEmbeddings
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* DeBertaForSequenceClassification
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* DeBertaForTokenClassification
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* DistilBertForSequenceClassification
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* Doc2Vec
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* GPT2Transformer
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## Spark NLP for Healthcare
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* AnnotationMerger
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* ChunkKeyPhraseExtraction
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* ChunkMapperApproach
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* ChunkSentenceSplitter
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* DeIdentification
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* EntityChunkEmbeddings
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* MedicalBertForSequenceClassification
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* MedicalBertForTokenClassifier
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* MedicalDistilBertForSequenceClassification
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* StructuredDeIdentification
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* TFGraphBuilder
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* ZeroShotRelationExtraction
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# Usage
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There are a lot of examples in R notebooks inside the `examples` directory. I recommended starting with the
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| 0.12.x | 3.4.0 |
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| 0.13.x | 3.4.1 |
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| 0.14.x | 3.4.2 |
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| 0.15.x | 3.4.4 |
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The function `nlp_version()`
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will show you the version that will be used. If you wish to change the version call

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