English Part of Speech Tagger (Base, UPOS-Universal Part-Of-Speech)

Description

Pretrained Part of Speech model, uploaded to Hugging Face, adapted and imported into Spark NLP. roberta-base-english-upos is a English model orginally trained by KoichiYasuoka.

Download Copy S3 URI

How to use

documentAssembler = DocumentAssembler() \
.setInputCol("text") \
.setOutputCol("document")

sentenceDetector = SentenceDetectorDLModel.pretrained("sentence_detector_dl", "xx")\
.setInputCols(["document"])\
.setOutputCol("sentence")

tokenizer = Tokenizer() \
.setInputCols("sentence") \
.setOutputCol("token")

tokenClassifier = RoBertaForTokenClassification.pretrained("roberta_pos_roberta_base_english_upos","en") \
.setInputCols(["sentence", "token"]) \
.setOutputCol("pos")

pipeline = Pipeline(stages=[documentAssembler, sentenceDetector, tokenizer, tokenClassifier])

data = spark.createDataFrame([["I love Spark NLP"]]).toDF("text")

result = pipeline.fit(data).transform(data)
val documentAssembler = new DocumentAssembler() 
.setInputCol("text") 
.setOutputCol("document")

val sentenceDetector = SentenceDetectorDLModel.pretrained("sentence_detector_dl", "xx")
.setInputCols(Array("document"))
.setOutputCol("sentence")

val tokenizer = new Tokenizer() 
.setInputCols(Array("sentence"))
.setOutputCol("token")

val tokenClassifier = RoBertaForTokenClassification.pretrained("roberta_pos_roberta_base_english_upos","en") 
.setInputCols(Array("sentence", "token")) 
.setOutputCol("pos")

val pipeline = new Pipeline().setStages(Array(documentAssembler,sentenceDetector, tokenizer, tokenClassifier))

val data = Seq("I love Spark NLP").toDF("text")

val result = pipeline.fit(data).transform(data)
import nlu
nlu.load("en.pos.roberta_base_english_upos").predict("""I love Spark NLP""")

Model Information

Model Name: roberta_pos_roberta_base_english_upos
Compatibility: Spark NLP 3.4.2+
License: Open Source
Edition: Official
Input Labels: [document, token]
Output Labels: [ner]
Language: en
Size: 448.7 MB
Case sensitive: true
Max sentence length: 128

References

  • https://huggingface.co/KoichiYasuoka/roberta-base-english-upos
  • https://universaldependencies.org/en/
  • https://universaldependencies.org/u/pos/
  • https://github.com/KoichiYasuoka/esupar