1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CL2024★ 1 cited
Multi-layer Sequence Labeling-based Joint Biomedical Event Extraction
Gongchi Chen, Pengchao Wu, Jinghang Gu +2
In recent years, biomedical event extraction has been dominated by complicated pipeline and joint methods, which need to be simplified. In addition, existing work has not effective…
cs.CL2024★ 1 cited
Pipelined Biomedical Event Extraction Rivaling Joint Learning
Pengchao Wu, Xuefeng Li, Jinghang Gu +2
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 invol…
cs.CL2022
Joint Learning-based Causal Relation Extraction from Biomedical Literature
Dongling Li, Pengchao Wu, Yuehu Dong +3
Causal relation extraction of biomedical entities is one of the most complex tasks in biomedical text mining, which involves two kinds of information: entity relations and entity f…