What the Role is vs. What Plays the Role: Semi-Supervised Event Argument Extraction via Dual Question Answering
Argument (complex analysis)
Leverage (statistics)
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DOI:
10.1609/aaai.v35i16.17720
Publication Date:
2022-09-08T20:15:16Z
AUTHORS (6)
ABSTRACT
Event argument extraction is an essential task in event extraction, and become particularly challenging the case of low-resource scenarios. We solve issues existing studies under situations from two sides. From perspective model, methods always suffer concern insufficient parameter sharing do not consider semantics roles, which conducive to dealing with sparse data. And data, most focus on data generation augmentation. However, these rely heavily external resources, more laborious create than obtain unlabeled In this paper, we propose DualQA, a novel framework, models as question answering alleviate problem sparseness leverage duality recognition ask "What plays role", well role is", mutually improve each other.Experimental results datasets prove effectiveness our approach, especially extremely situations.
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