Description
Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. danish-bert-botxo-ner-dane
is a Danish model originally trained by Maltehb
.
Predicted Entities
ORG
, PER
, [CLS]
, [SEP]
, LOC
How to use
documentAssembler = DocumentAssembler() \
.setInputCol("text") \
.setOutputCol("document")
tokenizer = Tokenizer() \
.setInputCols("document") \
.setOutputCol("token")
tokenClassifier = BertForTokenClassification.pretrained("bert_token_classifier_danish_botxo_ner_dane","da") \
.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_danish_botxo_ner_dane","da")
.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_danish_botxo_ner_dane |
Compatibility: | Spark NLP 4.3.1+ |
License: | Open Source |
Edition: | Official |
Input Labels: | [document, token] |
Output Labels: | [ner] |
Language: | da |
Size: | 412.9 MB |
Case sensitive: | true |
Max sentence length: | 128 |
References
- https://huggingface.co/Maltehb/danish-bert-botxo-ner-dane
- #danish-bert-version-2-uncased-by-certainlyhttpscertainlyio-previously-known-as-botxo-finetuned-for-named-entity-recognition-on-the-dane-datasethttpsdanlpalexandradk304bd159d5dedatasetsddtzip-hvingelby-et-al-2020-by-malte-højmark-bertelsen
- https://certainly.io/
- https://danlp.alexandra.dk/304bd159d5de/datasets/ddt.zip
- https://certainly.io/
- https://danlp.alexandra.dk/304bd159d5de/datasets/ddt.zip
- https://certainly.io/
- https://github.com/certainlyio/nordic_bert
- https://www.certainly.io/blog/danish-bert-model/
- https://www.dropbox.com/s/19cjaoqvv2jicq9/danish_bert_uncased_v2.zip?dl=1
- https://github.com/botxo/nordic_bert
- https://www.aclweb.org/anthology/2020.lrec-1.565
- https://twitter.com/malteH_B
- https://www.linkedin.com/in/malte-h%C3%B8jmark-bertelsen-9a618017b/
- https://www.instagram.com/maltemusen/