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Pipelined Biomedical Event Extraction Rivaling Joint Learning
March 20, 2024, 4:48 a.m. | Pengchao Wu, Xuefeng Li, Jinghang Gu, Longhua Qian, Guodong Zhou
cs.CL updates on arXiv.org arxiv.org
Abstract: Biomedical event extraction is an information extraction task to obtain events from biomedical text, whose targets include the type, the trigger, and the respective arguments involved in an event. Traditional biomedical event extraction usually adopts a pipelined approach, which contains trigger identification, argument role recognition, and finally event construction either using specific rules or by machine learning. In this paper, we propose an n-ary relation extraction method based on the BERT pre-training model to construct …
abstract arxiv biomedical cs.ai cs.cl event events extraction finally identification information information extraction recognition role targets text type
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