Semantic Matching Template-based Zero-shot Relation Triplet Extraction

To address the limitation of annotated datasets confined to fixed relation domains, which hampers the effective extraction of triplets, especially for novel relation types, our work introduces an innovative approach. We propose a method for training large-scale language models using prompt templates...

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Veröffentlicht in:	IEICE Transactions on Information and Systems 2024, pp.2024EDP7137
Hauptverfasser:	ZHANG, Mei, TIAN, Yu, YANG, Yuechen, DUAN, Jianyong
Format:	Artikel
Sprache:	eng
Schlagworte:	fine-grained matching prompt learning relation triplet extraction zero-shot learning
Online-Zugang:	Volltext
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