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

arXiv:2403.12386v1 Announce Type: new
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

Founding AI Engineer, Agents

@ Occam AI | New York

AI Engineer Intern, Agents

@ Occam AI | US

AI Research Scientist

@ Vara | Berlin, Germany and Remote

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne