Aspect Sentiment Triplet Extraction with Syntax-Semantics Graph Convolutional Network

Abstract In the traditional task of aspect sentiment triplet extraction, existing approaches typically focus on either syntactic or semantic features independently, failing to leverage the complementary integration of these two types of information. Although graph convolutional network-based approac...

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Autors principals:	Jingyun Zhang, Shuwei Xu, Xin Gao, Zhiwei Tang
Format:	Artigo
Idioma:	Inglês
Publicat:	Springer 2025-07-01
Col·lecció:	International Journal of Computational Intelligence Systems
Matèries:	Aspect-based sentiment analysis Aspect sentiment triplet extraction Graph convolutional network Syntactic information and semantic information
Accés en línia:	https://doi.org/10.1007/s44196-025-00900-w
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