Description
Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. DirectQuote-SentLevel-DistilBERT
is a English model originally trained by whispAI
.
Predicted Entities
Out
, RightSpeaker
, LeftSpeaker
, Unknown
, Speaker
How to use
documentAssembler = DocumentAssembler() \
.setInputCol("text") \
.setOutputCol("document")
tokenizer = Tokenizer() \
.setInputCols("document") \
.setOutputCol("token")
tokenClassifier = DistilBertForTokenClassification.pretrained("distilbert_token_classifier_directquote_sentlevel_distilbert","en") \
.setInputCols(["document", "token"]) \
.setOutputCol("ner")
pipeline = Pipeline(stages=[documentAssembler, tokenizer, tokenClassifier])
data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text")
result = pipeline.fit(data).transform(data)
val documentAssembler = new DocumentAssembler()
.setInputCol("text")
.setOutputCol("document")
val tokenizer = new Tokenizer()
.setInputCols("document")
.setOutputCol("token")
val tokenClassifier = DistilBertForTokenClassification.pretrained("distilbert_token_classifier_directquote_sentlevel_distilbert","en")
.setInputCols(Array("document", "token"))
.setOutputCol("ner")
val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, tokenClassifier))
val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text")
val result = pipeline.fit(data).transform(data)
Model Information
Model Name: | distilbert_token_classifier_directquote_sentlevel_distilbert |
Compatibility: | Spark NLP 4.3.1+ |
License: | Open Source |
Edition: | Official |
Input Labels: | [document, token] |
Output Labels: | [ner] |
Language: | en |
Size: | 244.1 MB |
Case sensitive: | true |
Max sentence length: | 128 |
References
- https://huggingface.co/whispAI/DirectQuote-SentLevel-DistilBERT
- #quote-extraction–attribution-on-directquotehttpsarxivorgabs211007827-dataset-with-bert-based-token-classification-💬
- https://arxiv.org/abs/2110.07827
- https://arxiv.org/abs/2110.07827
- https://arxiv.org/abs/2110.07827
- https://www.theguardian.com/info/2021/nov/25/talking-sense-using-machine-learning-to-understand-quotes
- https://arxiv.org/abs/2110.07827
- https://stanfordnlp.github.io/CoreNLP/quote.html
- https://textacy.readthedocs.io/en/latest/api_reference/extract.html#textacy.extract.triples.direct_quotations
- https://stanfordnlp.github.io/CoreNLP/quote.html
- https://arxiv.org/abs/2110.07827
- https://textacy.readthedocs.io/en/latest/api_reference/extract.html#textacy.extract.triples.direct_quotations