MINGYU DEREK MA
MINGYU DEREK MA
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Biomedical NLP
DICE: Data-Efficient Clinical Event Extraction with Generative Models
We introduce DICE, a robust and data-efficient generative model for clinical event extraction, which specializes in clinical mention identification, and MACCROBAT-EE, the first clinical event extraction dataset with event argument annotation.
Mingyu Derek Ma
,
Alexander K. Taylor
,
Wei Wang
,
Nanyun Peng
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ACL Anthology
EventPlus: A Temporal Event Understanding Pipeline
A temporal event understanding pipeline that integrates various state-of-the-art event understanding components including event trigger and type detection, event argument detection, event duration and temporal relation extraction.
Mingyu Derek Ma
,
Jiao Sun
,
Mu Yang
,
Kung-Hsiang Huang
,
Nuan Wen
,
Shikhar Singh
,
Rujun Han
,
Nanyun Peng
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