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Modeling Structural Similarities between Documents for Coherence
  Assessment with Graph Convolutional Networks

Modeling Structural Similarities between Documents for Coherence Assessment with Graph Convolutional Networks

10 June 2023
Wei Liu
Xiyan Fu
Michael Strube
    GNN
ArXiv (abs)PDFHTML

Papers citing "Modeling Structural Similarities between Documents for Coherence Assessment with Graph Convolutional Networks"

12 / 12 papers shown
Title
DocNLI: A Large-scale Dataset for Document-level Natural Language
  Inference
DocNLI: A Large-scale Dataset for Document-level Natural Language Inference
Wenpeng Yin
Dragomir R. Radev
Caiming Xiong
HILM
62
98
0
17 Jun 2021
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
88
276
0
21 Oct 2020
Stanza: A Python Natural Language Processing Toolkit for Many Human
  Languages
Stanza: A Python Natural Language Processing Toolkit for Many Human Languages
Peng Qi
Yuhao Zhang
Yuhui Zhang
Jason Bolton
Christopher D. Manning
AI4TS
253
1,695
0
16 Mar 2020
Why So Down? The Role of Negative (and Positive) Pointwise Mutual
  Information in Distributional Semantics
Why So Down? The Role of Negative (and Positive) Pointwise Mutual Information in Distributional Semantics
Alexandre Salle
Aline Villavicencio
68
8
0
19 Aug 2019
A Cross-Domain Transferable Neural Coherence Model
A Cross-Domain Transferable Neural Coherence Model
Peng Xu
H. Saghir
Jin Sung Kang
Teng Long
A. Bose
Yanshuai Cao
Jackie C.K. Cheung
92
46
0
28 May 2019
How Powerful are Graph Neural Networks?
How Powerful are Graph Neural Networks?
Keyulu Xu
Weihua Hu
J. Leskovec
Stefanie Jegelka
GNN
243
7,681
0
01 Oct 2018
FastGCN: Fast Learning with Graph Convolutional Networks via Importance
  Sampling
FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling
Jie Chen
Tengfei Ma
Cao Xiao
GNN
144
1,513
0
30 Jan 2018
Deeper Insights into Graph Convolutional Networks for Semi-Supervised
  Learning
Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning
Qimai Li
Zhichao Han
Xiao-Ming Wu
GNNSSL
189
2,828
0
22 Jan 2018
Graph Attention Networks
Graph Attention Networks
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
GNN
479
20,164
0
30 Oct 2017
Encoding Sentences with Graph Convolutional Networks for Semantic Role
  Labeling
Encoding Sentences with Graph Convolutional Networks for Semantic Role Labeling
Diego Marcheggiani
Ivan Titov
GNNNAI
80
832
0
14 Mar 2017
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNNSSL
644
29,076
0
09 Sep 2016
Neural Net Models for Open-Domain Discourse Coherence
Neural Net Models for Open-Domain Discourse Coherence
Jiwei Li
Dan Jurafsky
88
123
0
05 Jun 2016
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