Description
Pretrained Named Entity Recognition model, uploaded to Hugging Face, adapted and imported into Spark NLP. roberta-base-bne-capitel-ner-plus is a Spanish model orginally trained by PlanTL-GOB-ES.
Predicted Entities
ORG, OTH, LOC, PER
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_base_bne_capitel_ner_plus","es") \
.setInputCols(["sentence", "token"]) \
.setOutputCol("ner")
pipeline = Pipeline(stages=[documentAssembler, sentenceDetector, tokenizer, tokenClassifier])
data = spark.createDataFrame([["Amo Spark NLP"]]).toDF("text")
result = pipeline.fit(data).transform(data)
Model Information
| Model Name: | roberta_ner_roberta_base_bne_capitel_ner_plus |
| Compatibility: | Spark NLP 3.4.2+ |
| License: | Open Source |
| Edition: | Official |
| Input Labels: | [document, token] |
| Output Labels: | [ner] |
| Language: | es |
| Size: | 458.9 MB |
| Case sensitive: | true |
| Max sentence length: | 128 |
References
- https://huggingface.co/PlanTL-GOB-ES/roberta-base-bne-capitel-ner-plus
- https://arxiv.org/abs/1907.11692
- http://www.bne.es/en/Inicio/index.html
- https://sites.google.com/view/capitel2020
- https://github.com/PlanTL-GOB-ES/lm-spanish
- https://arxiv.org/abs/2107.07253