Entity-Relation Extraction as Multi-Turn Question Answering

Xiaoya Li
Xiaoya Li
Fan Yin
Fan Yin
Zijun Sun
Zijun Sun
Xiayu Li
Xiayu Li
Arianna Yuan
Arianna Yuan
Duo Chai
Duo Chai
Mingxin Zhou
Mingxin Zhou

Meeting of the Association for Computational Linguistics, 2019.

Cited by: 0|Views29
EI

Abstract:

In this paper, we propose a new paradigm for the task of entity-relation extraction. We cast the task as a multi-turn question answering problem, i.e., the extraction of entities and relations is transformed to the task of identifying answer spans from the context. This multi-turn QA formalization comes with several key advantages: firs...More

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