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Empirical Analysis of Dialogue Relation Extraction with Large Language Models
April 30, 2024, 4:50 a.m. | Guozheng Li, Zijie Xu, Ziyu Shang, Jiajun Liu, Ke Ji, Yikai Guo
cs.CL updates on arXiv.org arxiv.org
Abstract: Dialogue relation extraction (DRE) aims to extract relations between two arguments within a dialogue, which is more challenging than standard RE due to the higher person pronoun frequency and lower information density in dialogues. However, existing DRE methods still suffer from two serious issues: (1) hard to capture long and sparse multi-turn information, and (2) struggle to extract golden relations based on partial dialogues, which motivates us to discover more effective methods that can alleviate …
abstract analysis arxiv cs.ai cs.cl dialogue extract extraction however information language language models large language large language models person relations standard type
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