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Graph Convolution over Pruned Dependency Trees Improves Relation
  Extraction

Graph Convolution over Pruned Dependency Trees Improves Relation Extraction

26 September 2018
Yuhao Zhang
Peng Qi
Christopher D. Manning
    GNN
ArXivPDFHTML

Papers citing "Graph Convolution over Pruned Dependency Trees Improves Relation Extraction"

50 / 100 papers shown
Title
Dual Pointer Network for Fast Extraction of Multiple Relations in a
  Sentence
Dual Pointer Network for Fast Extraction of Multiple Relations in a Sentence
Seongsik Park
H. Kim
29
8
0
05 Mar 2021
A Survey on Extraction of Causal Relations from Natural Language Text
A Survey on Extraction of Causal Relations from Natural Language Text
Jie Yang
S. Han
Josiah Poon
3DV
CML
101
85
0
16 Jan 2021
Deep Neural Network Based Relation Extraction: An Overview
Deep Neural Network Based Relation Extraction: An Overview
Hailin Wang
Ke Qin
R. Zakari
Guoming Lu
Jin Yin
63
64
0
06 Jan 2021
Graph Neural Networks: Taxonomy, Advances and Trends
Graph Neural Networks: Taxonomy, Advances and Trends
Yu Zhou
Haixia Zheng
Xin Huang
Shufeng Hao
Dengao Li
Jumin Zhao
AI4TS
27
117
0
16 Dec 2020
GDPNet: Refining Latent Multi-View Graph for Relation Extraction
GDPNet: Refining Latent Multi-View Graph for Relation Extraction
Fuzhao Xue
Aixin Sun
Hao Zhang
Eng Siong Chng
29
86
0
12 Dec 2020
Complex Relation Extraction: Challenges and Opportunities
Complex Relation Extraction: Challenges and Opportunities
Haiyun Jiang
Qiaoben Bao
Qiao Cheng
Deqing Yang
Li Wang
Yanghua Xiao
46
13
0
09 Dec 2020
Domain Adaptative Causality Encoder
Domain Adaptative Causality Encoder
Farhad Moghimifar
Gholamreza Haffari
Mahsa Baktash
CML
OOD
27
8
0
27 Nov 2020
VLG-Net: Video-Language Graph Matching Network for Video Grounding
VLG-Net: Video-Language Graph Matching Network for Video Grounding
Mattia Soldan
Mengmeng Xu
Sisi Qu
Jesper N. Tegnér
Guohao Li
35
69
0
19 Nov 2020
Strongly Incremental Constituency Parsing with Graph Neural Networks
Strongly Incremental Constituency Parsing with Graph Neural Networks
Kaiyu Yang
Jia Deng
27
35
0
27 Oct 2020
A Frustratingly Easy Approach for Entity and Relation Extraction
A Frustratingly Easy Approach for Entity and Relation Extraction
Zexuan Zhong
Danqi Chen
162
108
0
24 Oct 2020
Document-Level Relation Extraction with Adaptive Thresholding and
  Localized Context Pooling
Document-Level Relation Extraction with Adaptive Thresholding and Localized Context Pooling
Wenxuan Zhou
Kevin Huang
Tengyu Ma
Jing Huang
24
273
0
21 Oct 2020
LUKE: Deep Contextualized Entity Representations with Entity-aware
  Self-attention
LUKE: Deep Contextualized Entity Representations with Entity-aware Self-attention
Ikuya Yamada
Akari Asai
Hiroyuki Shindo
Hideaki Takeda
Yuji Matsumoto
34
663
0
02 Oct 2020
Interpreting Graph Neural Networks for NLP With Differentiable Edge
  Masking
Interpreting Graph Neural Networks for NLP With Differentiable Edge Masking
M. Schlichtkrull
Nicola De Cao
Ivan Titov
AI4CE
36
214
0
01 Oct 2020
Double Graph Based Reasoning for Document-level Relation Extraction
Double Graph Based Reasoning for Document-level Relation Extraction
Shuang Zeng
Runxin Xu
Baobao Chang
Lei Li
34
223
0
29 Sep 2020
Global-to-Local Neural Networks for Document-Level Relation Extraction
Global-to-Local Neural Networks for Document-Level Relation Extraction
D. Wang
Wei Hu
E. Cao
Weijian Sun
NAI
18
118
0
22 Sep 2020
Structure-Aware Human-Action Generation
Structure-Aware Human-Action Generation
Ping Yu
Yang Zhao
Chunyuan Li
Junsong Yuan
Changyou Chen
GNN
32
38
0
04 Jul 2020
Higher-Order Explanations of Graph Neural Networks via Relevant Walks
Higher-Order Explanations of Graph Neural Networks via Relevant Walks
Thomas Schnake
Oliver Eberle
Jonas Lederer
Shinichi Nakajima
Kristof T. Schütt
Klaus-Robert Muller
G. Montavon
34
217
0
05 Jun 2020
Graph-based, Self-Supervised Program Repair from Diagnostic Feedback
Graph-based, Self-Supervised Program Repair from Diagnostic Feedback
Michihiro Yasunaga
Percy Liang
LRM
37
172
0
20 May 2020
Reasoning with Latent Structure Refinement for Document-Level Relation
  Extraction
Reasoning with Latent Structure Refinement for Document-Level Relation Extraction
Guoshun Nan
Zhijiang Guo
Ivan Sekulić
Wei Lu
44
273
0
13 May 2020
Document Modeling with Graph Attention Networks for Multi-grained
  Machine Reading Comprehension
Document Modeling with Graph Attention Networks for Multi-grained Machine Reading Comprehension
Bo Zheng
Haoyang Wen
Yaobo Liang
Nan Duan
Wanxiang Che
Daxin Jiang
Ming Zhou
Ting Liu
20
47
0
12 May 2020
TACRED Revisited: A Thorough Evaluation of the TACRED Relation
  Extraction Task
TACRED Revisited: A Thorough Evaluation of the TACRED Relation Extraction Task
Christoph Alt
Aleksandra Gabryszak
Leonhard Hennig
19
153
0
30 Apr 2020
Relational Graph Attention Network for Aspect-based Sentiment Analysis
Relational Graph Attention Network for Aspect-based Sentiment Analysis
Kai Wang
Weizhou Shen
Yunyi Yang
Xiaojun Quan
Rui Wang
41
547
0
26 Apr 2020
Contextualised Graph Attention for Improved Relation Extraction
Contextualised Graph Attention for Improved Relation Extraction
Angrosh Mandya
Danushka Bollegala
Frans Coenen
GNN
26
6
0
22 Apr 2020
Probing Linguistic Features of Sentence-Level Representations in Neural
  Relation Extraction
Probing Linguistic Features of Sentence-Level Representations in Neural Relation Extraction
Christoph Alt
Aleksandra Gabryszak
Leonhard Hennig
NAI
13
34
0
17 Apr 2020
Downstream Model Design of Pre-trained Language Model for Relation
  Extraction Task
Downstream Model Design of Pre-trained Language Model for Relation Extraction Task
Cheng-rong Li
Ye Tian
21
36
0
08 Apr 2020
More Data, More Relations, More Context and More Openness: A Review and
  Outlook for Relation Extraction
More Data, More Relations, More Context and More Openness: A Review and Outlook for Relation Extraction
Xu Han
Tianyu Gao
Yankai Lin
Hao Peng
Yaoliang Yang
Chaojun Xiao
Zhiyuan Liu
Peng Li
Maosong Sun
Jie Zhou
32
132
0
07 Apr 2020
Recursive Non-Autoregressive Graph-to-Graph Transformer for Dependency
  Parsing with Iterative Refinement
Recursive Non-Autoregressive Graph-to-Graph Transformer for Dependency Parsing with Iterative Refinement
Alireza Mohammadshahi
James Henderson
35
33
0
29 Mar 2020
K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters
K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters
Ruize Wang
Duyu Tang
Nan Duan
Zhongyu Wei
Xuanjing Huang
Jianshu Ji
Guihong Cao
Daxin Jiang
Ming Zhou
KELM
48
545
0
05 Feb 2020
Effective Attention Modeling for Neural Relation Extraction
Effective Attention Modeling for Neural Relation Extraction
Tapas Nayak
Hwee Tou Ng
39
19
0
09 Dec 2019
Leveraging Dependency Forest for Neural Medical Relation Extraction
Leveraging Dependency Forest for Neural Medical Relation Extraction
Linfeng Song
Yue Zhang
D. Gildea
Mo Yu
Zhiguo Wang Jinsong Su
Jinsong Su
MedIm
37
33
0
11 Nov 2019
On the Effectiveness of the Pooling Methods for Biomedical Relation
  Extraction with Deep Learning
On the Effectiveness of the Pooling Methods for Biomedical Relation Extraction with Deep Learning
Tuan Ngo Nguyen
Franck Dernoncourt
Thien Huu Nguyen
22
5
0
04 Nov 2019
Selective Attention Based Graph Convolutional Networks for Aspect-Level
  Sentiment Classification
Selective Attention Based Graph Convolutional Networks for Aspect-Level Sentiment Classification
Xiaochen Hou
Jing Huang
Guangtao Wang
Xiaodong He
Bowen Zhou
36
53
0
24 Oct 2019
Aligning Cross-Lingual Entities with Multi-Aspect Information
Aligning Cross-Lingual Entities with Multi-Aspect Information
Hsiu-Wei Yang
Yanyan Zou
Peng Shi
Wei Lu
Jimmy J. Lin
Xu Sun
35
143
0
15 Oct 2019
Jointly Learning Entity and Relation Representations for Entity
  Alignment
Jointly Learning Entity and Relation Representations for Entity Alignment
Yuting Wu
Xiao Liu
Yansong Feng
Zheng Wang
Dongyan Zhao
27
152
0
20 Sep 2019
Modeling Conversation Structure and Temporal Dynamics for Jointly
  Predicting Rumor Stance and Veracity
Modeling Conversation Structure and Temporal Dynamics for Jointly Predicting Rumor Stance and Veracity
Penghui Wei
Nan Xu
Wenji Mao
33
72
0
18 Sep 2019
Knowledge Enhanced Contextual Word Representations
Knowledge Enhanced Contextual Word Representations
Matthew E. Peters
Mark Neumann
IV RobertL.Logan
Roy Schwartz
Vidur Joshi
Sameer Singh
Noah A. Smith
234
656
0
09 Sep 2019
Graph-Based Reasoning over Heterogeneous External Knowledge for
  Commonsense Question Answering
Graph-Based Reasoning over Heterogeneous External Knowledge for Commonsense Question Answering
Shangwen Lv
Daya Guo
Jingjing Xu
Duyu Tang
Nan Duan
Ming Gong
Linjun Shou
Daxin Jiang
Guihong Cao
Songlin Hu
RALM
20
202
0
09 Sep 2019
NERO: A Neural Rule Grounding Framework for Label-Efficient Relation
  Extraction
NERO: A Neural Rule Grounding Framework for Label-Efficient Relation Extraction
Wenxuan Zhou
Hongtao Lin
Bill Yuchen Lin
Ziqi Wang
Junyi Du
Leonardo Neves
Xiang Ren
NAI
26
54
0
05 Sep 2019
KagNet: Knowledge-Aware Graph Networks for Commonsense Reasoning
KagNet: Knowledge-Aware Graph Networks for Commonsense Reasoning
Bill Yuchen Lin
Xinyue Chen
Jamin Chen
Xiang Ren
24
460
0
04 Sep 2019
Densely Connected Graph Convolutional Networks for Graph-to-Sequence
  Learning
Densely Connected Graph Convolutional Networks for Graph-to-Sequence Learning
Zhijiang Guo
Yan Zhang
Zhiyang Teng
Wei Lu
GNN
24
130
0
16 Aug 2019
Fine-tuning Pre-Trained Transformer Language Models to Distantly
  Supervised Relation Extraction
Fine-tuning Pre-Trained Transformer Language Models to Distantly Supervised Relation Extraction
Christoph Alt
Marc Hübner
Leonhard Hennig
15
119
0
19 Jun 2019
Revisiting Graph Neural Networks: All We Have is Low-Pass Filters
Revisiting Graph Neural Networks: All We Have is Low-Pass Filters
Hoang NT
Takanori Maehara
GNN
33
420
0
23 May 2019
Neural Metric Learning for Fast End-to-End Relation Extraction
Neural Metric Learning for Fast End-to-End Relation Extraction
Tung Tran
Ramakanth Kavuluru
34
37
0
17 May 2019
ImageGCN: Multi-Relational Image Graph Convolutional Networks for
  Disease Identification with Chest X-rays
ImageGCN: Multi-Relational Image Graph Convolutional Networks for Disease Identification with Chest X-rays
Chengsheng Mao
Liang Yao
Yuan Luo
MedIm
GNN
42
56
0
31 Mar 2019
Bridging the Gap: Attending to Discontinuity in Identification of
  Multiword Expressions
Bridging the Gap: Attending to Discontinuity in Identification of Multiword Expressions
Omid Rohanian
Shiva Taslimipoor
Samaneh Kouchaki
L. Ha
R. Mitkov
27
26
0
27 Feb 2019
Learning to Generate Questions by Learning What not to Generate
Learning to Generate Questions by Learning What not to Generate
Bang Liu
Mingjun Zhao
Di Niu
Kunfeng Lai
Yancheng He
Haojie Wei
Yu-Syuan Xu
OOD
20
102
0
27 Feb 2019
Simplifying Graph Convolutional Networks
Simplifying Graph Convolutional Networks
Felix Wu
Tianyi Zhang
Amauri Souza
Christopher Fifty
Tao Yu
Kilian Q. Weinberger
GNN
80
3,122
0
19 Feb 2019
Universal Dependency Parsing from Scratch
Universal Dependency Parsing from Scratch
Peng Qi
Timothy Dozat
Yuhao Zhang
Christopher D. Manning
15
267
0
29 Jan 2019
Confidence-based Graph Convolutional Networks for Semi-Supervised
  Learning
Confidence-based Graph Convolutional Networks for Semi-Supervised Learning
Shikhar Vashishth
Prateek Yadav
Manik Bhandari
Partha P. Talukdar
GNN
33
40
0
24 Jan 2019
Graph Neural Networks: A Review of Methods and Applications
Graph Neural Networks: A Review of Methods and Applications
Jie Zhou
Ganqu Cui
Shengding Hu
Zhengyan Zhang
Cheng Yang
Zhiyuan Liu
Lifeng Wang
Changcheng Li
Maosong Sun
AI4CE
GNN
40
5,416
0
20 Dec 2018
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