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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

8 June 2023
Jun Zhao
Wenyu Zhan
Xin Zhao
Qi Zhang
Tao Gui
Zhongyu Wei
Junzhe Wang
Minlong Peng
Mingming Sun
ArXivPDFHTML

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

5 / 5 papers shown
Title
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
35
7
0
27 Apr 2024
On the use of Silver Standard Data for Zero-shot Classification Tasks in
  Information Extraction
On the use of Silver Standard Data for Zero-shot Classification Tasks in Information Extraction
Jianwei Wang
Tianyin Wang
Ziqian Zeng
56
1
0
28 Feb 2024
A Relation-Oriented Clustering Method for Open Relation Extraction
A Relation-Oriented Clustering Method for Open Relation Extraction
Jun Zhao
Tao Gui
Qi Zhang
Yaqian Zhou
42
33
0
15 Sep 2021
Response Ranking with Deep Matching Networks and External Knowledge in
  Information-seeking Conversation Systems
Response Ranking with Deep Matching Networks and External Knowledge in Information-seeking Conversation Systems
Liu Yang
Minghui Qiu
Chen Qu
J. Guo
Yongfeng Zhang
W. Bruce Croft
Jun Huang
Haiqing Chen
186
142
0
01 May 2018
Domain-Adversarial Training of Neural Networks
Domain-Adversarial Training of Neural Networks
Yaroslav Ganin
E. Ustinova
Hana Ajakan
Pascal Germain
Hugo Larochelle
François Laviolette
M. Marchand
Victor Lempitsky
GAN
OOD
177
9,332
0
28 May 2015
1