Query-based Instance Discrimination Network for Relational Triple Extraction

Understand

Joint entity and relation extraction has been a core task in the field of information extraction.

• Recent approaches usually consider the extraction of relational triples from a stereoscopic perspective, either learning a relation-specific tagger or separate classifiers for each relation type.
• However, they still suffer from error propagation, relation redundancy and lack of high-level connections between triples.
• To address these issues, we propose a novel query-based approach to construct instance-level representations for relational triples.