Extraction of causal relations based on SBEL and BERT model

Database (Oxford) 2022-01-31

Summary:

Extraction of causal relations between biomedical entities in the form of Biological Expression Language (BEL) poses a new challenge to the community of biomedical text mining due to the complexity of BEL statements. We propose a simplified form of BEL statements [Simplified Biological Expression Language (SBEL)] to facilitate BEL extraction and employ BERT (Bidirectional Encoder Representation from Transformers) to improve the performance of causal relation extraction (RE). On the one hand, BEL...

Link:

https://pubmed.ncbi.nlm.nih.gov/33570092/?utm_source=Other&utm_medium=rss&utm_campaign=journals&utm_content=101517697&fc=None&ff=20220131093648&v=2.17.5

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📚BioDBS Bibliography » Database (Oxford)

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Authors:

Yifan Shao, Haoru Li, Jinghang Gu, Longhua Qian, Guodong Zhou

Date tagged:

01/31/2022, 09:36

Date published:

02/11/2021, 06:00