3 citations · 5 across the 4 of their papers we have counts for
4 papers
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…
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…
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…
Multi-label classification for biomedical literature: an overview of the BioCreative VII LitCovid Track for COVID-19 literature topic annotations
Qingyu Chen, Alexis Allot, Robert Leaman +35
The COVID-19 pandemic has been severely impacting global society since December 2019. Massive research has been undertaken to understand the characteristics of the virus and design…