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Are Noisy Sentences Useless for Distant Supervised Relation Extraction?

Are Noisy Sentences Useless for Distant Supervised Relation Extraction?

22 November 2019
Yu-Ming Shang
    NoLa
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Papers citing "Are Noisy Sentences Useless for Distant Supervised Relation Extraction?"

5 / 5 papers shown
Title
SENT: Sentence-level Distant Relation Extraction via Negative Training
SENT: Sentence-level Distant Relation Extraction via Negative Training
Ruotian Ma
Tao Gui
Linyang Li
Qi Zhang
Yaqian Zhou
Xuanjing Huang
22
28
0
22 Jun 2021
Distantly-Supervised Long-Tailed Relation Extraction Using Constraint
  Graphs
Distantly-Supervised Long-Tailed Relation Extraction Using Constraint Graphs
Tianming Liang
Yang Liu
Xiaoyan Liu
Hao Zhang
Gaurav Sharma
Maozu Guo
29
22
0
24 May 2021
Learning from Noisy Labels for Entity-Centric Information Extraction
Learning from Noisy Labels for Entity-Centric Information Extraction
Wenxuan Zhou
Muhao Chen
NoLa
12
65
0
17 Apr 2021
Deep Neural Approaches to Relation Triplets Extraction: A Comprehensive
  Survey
Deep Neural Approaches to Relation Triplets Extraction: A Comprehensive Survey
Tapas Nayak
Navonil Majumder
Pawan Goyal
Soujanya Poria
ViT
16
49
0
31 Mar 2021
InSRL: A Multi-view Learning Framework Fusing Multiple Information
  Sources for Distantly-supervised Relation Extraction
InSRL: A Multi-view Learning Framework Fusing Multiple Information Sources for Distantly-supervised Relation Extraction
Zhendong Chu
Haiyun Jiang
Yanghua Xiao
Wei Wang
21
8
0
17 Dec 2020
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