English BertForTokenClassification Base Cased model (from Jzuluaga)

Description

Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. bert-base-token-classification-for-atc-en-uwb-atcc is a English model originally trained by Jzuluaga.

Predicted Entities

atco, pilot

Download Copy S3 URI

How to use

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

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

tokenClassifier = BertForTokenClassification.pretrained("bert_token_classifier_base_token_classification_for_atc_en_uwb_atcc","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 = BertForTokenClassification.pretrained("bert_token_classifier_base_token_classification_for_atc_en_uwb_atcc","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:	bert_token_classifier_base_token_classification_for_atc_en_uwb_atcc
Compatibility:	Spark NLP 4.3.1+
License:	Open Source
Edition:	Official
Input Labels:	[document, token]
Output Labels:	[ner]
Language:	en
Size:	407.8 MB
Case sensitive:	true
Max sentence length:	128

References

https://huggingface.co/Jzuluaga/bert-base-token-classification-for-atc-en-uwb-atcc
https://github.com/idiap/bert-text-diarization-atc
https://arxiv.org/abs/2110.05781
https://github.com/idiap/bert-text-diarization-atc
https://arxiv.org/abs/2110.05781
https://lindat.mff.cuni.cz/repository/xmlui/handle/11858/00-097C-0000-0001-CCA1-0
https://github.com/idiap/bert-text-diarization-atc/tree/main/data/databases/uwb_atcc
https://github.com/idiap/bert-text-diarization-atc/blob/main/data/databases/uwb_atcc/data_prepare_uwb_atcc_corpus.sh
https://github.com/idiap/bert-text-diarization-atc/blob/main/data/databases/uwb_atcc/exp_prepare_uwb_atcc_corpus.sh
https://paperswithcode.com/sota?task=chunking&dataset=UWB-ATCC+corpus+%28Air+Traffic+Control+Communications%29

PREVIOUSSwedish BertForTokenClassification Base Cased model (from KBLab)

NEXTTurkish BertForTokenClassification Base Cased model (from akdeniz27)