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PRGC: Potential Relation and Global Correspondence Based Joint Relational Triple Extraction
[article]
2021
arXiv
pre-print
Joint extraction of entities and relations from unstructured texts is a crucial task in information extraction. Recent methods achieve considerable performance but still suffer from some inherent limitations, such as redundancy of relation prediction, poor generalization of span-based extraction and inefficiency. In this paper, we decompose this task into three subtasks, Relation Judgement, Entity Extraction and Subject-object Alignment from a novel perspective and then propose a joint
arXiv:2106.09895v1
fatcat:5uqfov5zdzhqbbmea4ja5yiupq