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Dependency Sensitive Convolutional Neural Networks for Modeling
  Sentences and Documents

Dependency Sensitive Convolutional Neural Networks for Modeling Sentences and Documents

8 November 2016
Rui Zhang
Honglak Lee
Dragomir R. Radev
ArXivPDFHTML

Papers citing "Dependency Sensitive Convolutional Neural Networks for Modeling Sentences and Documents"

7 / 7 papers shown
Title
Learning to Compose over Tree Structures via POS Tags
Learning to Compose over Tree Structures via POS Tags
Gehui Shen
Zhihong Deng
Ting Huang
Xi Chen
24
15
0
18 Aug 2018
Translations as Additional Contexts for Sentence Classification
Translations as Additional Contexts for Sentence Classification
Reinald Kim Amplayo
Kyungjae Lee
Jinyeong Yeo
Seung-won Hwang
46
17
0
14 Jun 2018
Densely Connected Bidirectional LSTM with Applications to Sentence
  Classification
Densely Connected Bidirectional LSTM with Applications to Sentence Classification
Zixiang Ding
Rui Xia
Jianfei Yu
Xiang Li
Jian Yang
AI4CE
27
61
0
03 Feb 2018
Learned in Translation: Contextualized Word Vectors
Learned in Translation: Contextualized Word Vectors
Bryan McCann
James Bradbury
Caiming Xiong
R. Socher
62
907
0
01 Aug 2017
What is the Essence of a Claim? Cross-Domain Claim Identification
What is the Essence of a Claim? Cross-Domain Claim Identification
Johannes Daxenberger
Steffen Eger
Ivan Habernal
Christian Stab
Iryna Gurevych
23
94
0
24 Apr 2017
Deep Learning applied to NLP
Deep Learning applied to NLP
Marc Moreno Lopez
Jugal Kalita
VLM
18
161
0
09 Mar 2017
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
7,638
0
03 Jul 2012
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