ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1812.10604
  4. Cited By
Cross-relation Cross-bag Attention for Distantly-supervised Relation
  Extraction

Cross-relation Cross-bag Attention for Distantly-supervised Relation Extraction

27 December 2018
Yujin Yuan
Liyuan Liu
Siliang Tang
Zhongfei Zhang
Yueting Zhuang
Shiliang Pu
Fei Wu
Xiang Ren
ArXivPDFHTML

Papers citing "Cross-relation Cross-bag Attention for Distantly-supervised Relation Extraction"

7 / 7 papers shown
Title
Uncertainty Guided Label Denoising for Document-level Distant Relation
  Extraction
Uncertainty Guided Label Denoising for Document-level Distant Relation Extraction
Qi Sun
Kun Huang
Xiaocui Yang
Pengfei Hong
Kun Zhang
Soujanya Poria
19
8
0
18 May 2023
Document-level Relation Extraction with Relation Correlations
Document-level Relation Extraction with Relation Correlations
Ridong Han
Tao Peng
Benyou Wang
Lu Liu
Xiang Wan
CVBM
18
4
0
20 Dec 2022
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 Relation Extraction with Sentence Reconstruction
  and Knowledge Base Priors
Distantly Supervised Relation Extraction with Sentence Reconstruction and Knowledge Base Priors
Fenia Christopoulou
Makoto Miwa
Sophia Ananiadou
32
20
0
16 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
16
8
0
17 Dec 2020
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
266
7,636
0
03 Jul 2012
1