English Named Entity Recognition (from surrey-nlp)

Description

Pretrained Named Entity Recognition model, uploaded to Hugging Face, adapted and imported into Spark NLP. roberta-large-finetuned-abbr is a English model orginally trained by surrey-nlp.

Predicted Entities

LF, AC

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_ner_roberta_large_finetuned_abbr","en") \
.setInputCols(["sentence", "token"]) \
.setOutputCol("ner")

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_ner_roberta_large_finetuned_abbr","en") 
.setInputCols(Array("sentence", "token")) 
.setOutputCol("ner")

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.ner.roberta_large_finetuned_abbr").predict("""I love Spark NLP""")

Model Information

Model Name: roberta_ner_roberta_large_finetuned_abbr
Compatibility: Spark NLP 3.4.2+
License: Open Source
Edition: Official
Input Labels: [document, token]
Output Labels: [ner]
Language: en
Size: 1.3 GB
Case sensitive: true
Max sentence length: 128

References

  • https://huggingface.co/surrey-nlp/roberta-large-finetuned-abbr
  • https://paperswithcode.com/sota?task=Token+Classification&dataset=surrey-nlp%2FPLOD-unfiltered