Entity-Relation Extraction as Multi-Turn Question Answering
Meeting of the Association for Computational Linguistics, 2019.
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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