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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 )
Original file line number Diff line number Diff line change @@ -32,7 +32,10 @@ The following features/annotators have not been implemented yet
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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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