A Bi-consolidating Model for Joint Relational Triple Extraction

arXiv:2404.03881v1 Announce Type: new
Abstract: Current methods to extract relational triples directly make a prediction based on a possible entity pair in a raw sentence without depending on entity recognition. The task suffers from a serious semantic overlapping problem, in which several relation triples may share one or two entities in a sentence. It is weak to learn discriminative semantic features relevant to a relation triple. In this paper, based on a two-dimensional sentence representation, a bi-consolidating model is proposed …

abstract arxiv cs.cl current extract extraction prediction raw recognition relational semantic type