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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"

4 / 104 papers shown
Title
Simplifying Graph Convolutional Networks
Simplifying Graph Convolutional Networks
Felix Wu
Tianyi Zhang
Amauri Souza
Christopher Fifty
Tao Yu
Kilian Q. Weinberger
GNN
89
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
17
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
43
5,431
0
20 Dec 2018
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