BioBERT Discharge

Description

This model contains a pre-trained weights of ClinicalBERT for discharge summaries. This domain-specific model has performance improvements on 3/5 clinical NLP tasks andd establishing a new state-of-the-art on the MedNLI dataset. The details are described in the paper “Publicly Available Clinical BERT Embeddings”.

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How to use

embeddings = BertEmbeddings.pretrained("biobert_discharge_base_cased", "en") \
      .setInputCols("sentence", "token") \
      .setOutputCol("embeddings")

val embeddings = BertEmbeddings.pretrained("biobert_discharge_base_cased", "en")
      .setInputCols("sentence", "token")
      .setOutputCol("embeddings")

Model Information

Model Name:	biobert_discharge_base_cased
Type:	embeddings
Compatibility:	Spark NLP 2.6.2
License:	Open Source
Edition:	Official
Input Labels:	[sentence, token]
Output Labels:	[word_embeddings]
Language:	[en]
Dimension:	768
Case sensitive:	true

Data Source

The model is imported from https://github.com/EmilyAlsentzer/clinicalBERT

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