Papers by Boran Hao

1 papers
Enhancing Clinical BERT Embedding using a Biomedical Knowledge Base (2020.coling-main)

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Challenge: Domain knowledge is important for building Natural Language Processing (NLP) systems for low-resource settings, such as in the clinical domain.
Approach: They propose a joint method for adding knowledge base information from the Unified Medical Language System (UMLS) into language model pre-training for some clinical domain corpus.
Outcome: The proposed method outperforms existing models on three clinical domain tasks with no knowledge base information.

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