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Improving LLM-based opinion expression identification with dependency syntax

delete2025-07-24
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PRE
AI
Q
Qiujing Xu
P
Peiming Guo
F
Fei Li
张梅山 (Meishan Zhang)
姬东鸿 (Donghong Ji) *
DOI:10.1016/j.patrec.2025.07.012delete
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Abstract

Abstract

En 中文
• We present the first work of integrating dependency syntax for LLM-based OEI. • We propose a novel approach that enables dependency syntax for LLM-based OEI. • We conduct experiments to show the effectiveness of our LLM-based OEI with syntax.
Keywords:
dependency syntax
large language models
open-ended information extraction
novel approach
experimental effectiveness

Journal

Pattern Recognition Letters cover
Pattern Recognition Letters
IF:
3.3
Papers:
7.8K
Citations:
1.6W

Organization

W
wuhan university
Scholars:
8.0W
Papers: 5.8W
Citations: 70