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 = BertSentenceEmbeddings.pretrained("sent_biobert_discharge_base_cased", "en") \
      .setInputCols("sentence") \
      .setOutputCol("sentence_embeddings")

val embeddings = BertSentenceEmbeddings.pretrained("sent_biobert_discharge_base_cased", "en")
      .setInputCols("sentence")
      .setOutputCol("sentence_embeddings")

Model Information

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

Data Source

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