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Uncover the Ground-Truth Relations in Distant Supervision: A Neural
  Expectation-Maximization Framework

Uncover the Ground-Truth Relations in Distant Supervision: A Neural Expectation-Maximization Framework

12 September 2019
Jiasi Chen
Richong Zhang
Yongyi Mao
Hongyu Guo
Jie Xu
    NoLa
    BDL
ArXivPDFHTML

Papers citing "Uncover the Ground-Truth Relations in Distant Supervision: A Neural Expectation-Maximization Framework"

12 / 12 papers shown
Title
Reinforcement Learning for Relation Classification from Noisy Data
Reinforcement Learning for Relation Classification from Noisy Data
Jun Feng
Minlie Huang
Li Zhao
Yang Yang
Xiaoyan Zhu
NoLa
56
341
0
24 Aug 2018
DSGAN: Generative Adversarial Training for Distant Supervision Relation
  Extraction
DSGAN: Generative Adversarial Training for Distant Supervision Relation Extraction
Pengda Qin
Weiran Xu
William Yang Wang
75
157
0
24 May 2018
Robust Distant Supervision Relation Extraction via Deep Reinforcement
  Learning
Robust Distant Supervision Relation Extraction via Deep Reinforcement Learning
Pengda Qin
Weiran Xu
William Yang Wang
43
221
0
24 May 2018
Weakly-supervised Relation Extraction by Pattern-enhanced Embedding
  Learning
Weakly-supervised Relation Extraction by Pattern-enhanced Embedding Learning
Meng Qu
Xiang Ren
Yu Zhang
Jiawei Han
43
51
0
09 Nov 2017
Neural Expectation Maximization
Neural Expectation Maximization
Klaus Greff
Sjoerd van Steenkiste
Jürgen Schmidhuber
OCL
122
286
0
11 Aug 2017
Learning with Noise: Enhance Distantly Supervised Relation Extraction
  with Dynamic Transition Matrix
Learning with Noise: Enhance Distantly Supervised Relation Extraction with Dynamic Transition Matrix
Bingfeng Luo
Yansong Feng
Zheng Wang
Zhanxing Zhu
Songfang Huang
Rui Yan
Dongyan Zhao
61
86
0
11 May 2017
Jointly Extracting Relations with Class Ties via Effective Deep Ranking
Jointly Extracting Relations with Class Ties via Effective Deep Ranking
Hai Ye
Wen-Han Chao
Zhunchen Luo
Zhoujun Li
51
40
0
22 Dec 2016
End-to-End Relation Extraction using LSTMs on Sequences and Tree
  Structures
End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures
Makoto Miwa
Joey Tianyi Zhou
132
1,188
0
05 Jan 2016
Classifying Relations via Long Short Term Memory Networks along Shortest
  Dependency Path
Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Path
Xu Yan
Lili Mou
Ge Li
Yunchuan Chen
Hao Peng
Zhi Jin
61
658
0
15 Aug 2015
A Dependency-Based Neural Network for Relation Classification
A Dependency-Based Neural Network for Relation Classification
Yang Liu
Furu Wei
Sujian Li
Heng Ji
M. Zhou
Houfeng Wang
48
231
0
16 Jul 2015
Classifying Relations by Ranking with Convolutional Neural Networks
Classifying Relations by Ranking with Convolutional Neural Networks
Cicero Nogueira dos Santos
Bing Xiang
Bowen Zhou
73
578
0
24 Apr 2015
ADADELTA: An Adaptive Learning Rate Method
ADADELTA: An Adaptive Learning Rate Method
Matthew D. Zeiler
ODL
143
6,626
0
22 Dec 2012
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