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RE-Matching: A Fine-Grained Semantic Matching Method for Zero-Shot Relation Extraction

RE-Matching: A Fine-Grained Semantic Matching Method for Zero-Shot Relation Extraction

Jun Zhao
Wenyu Zhan
Xin Zhao
Qi Zhang
Tao Gui
Zhongyu Wei
Junzhe Wang
Minlong Peng
Mingming Sun
ArXiv (abs)PDFHTML

Papers citing "RE-Matching: A Fine-Grained Semantic Matching Method for Zero-Shot Relation Extraction"

3 / 3 papers shown
Title
Analyzing the Influence of Knowledge Graph Information on Relation Extraction
Analyzing the Influence of Knowledge Graph Information on Relation Extraction
Cedric Moller
Ricardo Usbeck
10
0
0
19 Jun 2025
Zero-Shot Open-Schema Entity Structure Discovery
Xueqiang Xu
Jinfeng Xiao
James Barry
Mohab Elkaref
Jiaru Zou
Pengcheng Jiang
Yunyi Zhang
Max Giammona
Geeth de Mel
Jiawei Han
36
0
0
04 Jun 2025
Meta In-Context Learning Makes Large Language Models Better Zero and Few-Shot Relation Extractors
Meta In-Context Learning Makes Large Language Models Better Zero and Few-Shot Relation Extractors
Guozheng Li
Peng Wang
Jiajun Liu
Yikai Guo
Ke Ji
Ziyu Shang
Zijie Xu
LRM
98
10
0
27 Apr 2024