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Do Convolutional Networks need to be Deep for Text Classification ?

Do Convolutional Networks need to be Deep for Text Classification ?

13 July 2017
Hoa T. Le
Christophe Cerisara
Alexandre Denis
    VLM
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Papers citing "Do Convolutional Networks need to be Deep for Text Classification ?"

7 / 7 papers shown
Title
KE-QI: A Knowledge Enhanced Article Quality Identification Dataset
KE-QI: A Knowledge Enhanced Article Quality Identification Dataset
Chunhui Ai
Derui Wang
Xuemi Yan
Yang Xu
Wenrui Xie
Ziqiang Cao
9
0
0
15 Jun 2022
Towards Computationally Feasible Deep Active Learning
Towards Computationally Feasible Deep Active Learning
Akim Tsvigun
Artem Shelmanov
Gleb Kuzmin
Leonid Sanochkin
Daniil Larionov
Gleb Gusev
Manvel Avetisian
L. Zhukov
12
15
0
07 May 2022
TextConvoNet:A Convolutional Neural Network based Architecture for Text
  Classification
TextConvoNet:A Convolutional Neural Network based Architecture for Text Classification
Sanskar Soni
S. Chouhan
S. Rathore
23
94
0
10 Mar 2022
Tackling COVID-19 Infodemic using Deep Learning
Tackling COVID-19 Infodemic using Deep Learning
Prathmesh Pathwar
Simran Gill
8
7
0
01 Jul 2021
Interpreting convolutional networks trained on textual data
Interpreting convolutional networks trained on textual data
Reza Marzban
Christopher Crick
FAtt
11
3
0
20 Oct 2020
Aspect Based Sentiment Analysis with Gated Convolutional Networks
Aspect Based Sentiment Analysis with Gated Convolutional Networks
Wei Xue
Tao Li
15
533
0
18 May 2018
Convolutional Neural Networks for Sentence Classification
Convolutional Neural Networks for Sentence Classification
Yoon Kim
AILaw
VLM
241
13,283
0
25 Aug 2014
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