MINGYU DEREK MA
MINGYU DEREK MA
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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
Implicit Discourse Relation Identification for Open-domain Dialogues
A novel dataset of implicit discourse relation argument pairs and labels for dialogic turns and a novel discourse relation identification pipeline specifically tuned for open-domain dialogue systems
Mingyu Derek Ma
,
Kevin K. Bowden
,
Jiaqi Wu
,
Wen Cui
,
Marilyn Walker
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