Do Convolutional Networks need to be Deep for Text Classification ?

13 July 2017

Papers citing "Do Convolutional Networks need to be Deep for Text Classification ?"

11 / 11 papers shown

Title
KE-QI: A Knowledge Enhanced Article Quality Identification Dataset Chunhui Ai Derui Wang Xuemi Yan Yang Xu Wenrui Xie Ziqiang Cao 29 0 0 15 Jun 2022
Towards Computationally Feasible Deep Active Learning Akim Tsvigun Artem Shelmanov Gleb Kuzmin Leonid Sanochkin Daniil Larionov Gleb Gusev Manvel Avetisian L. Zhukov 32 15 0 07 May 2022
TextConvoNet:A Convolutional Neural Network based Architecture for Text Classification Sanskar Soni S. Chouhan S. Rathore 41 96 0 10 Mar 2022
Tackling COVID-19 Infodemic using Deep Learning Prathmesh Pathwar Simran Gill 21 7 0 01 Jul 2021
Search4Code: Code Search Intent Classification Using Weak Supervision Nikitha Rao Chetan Bansal Joe Guan 30 2 0 24 Nov 2020
Interpreting convolutional networks trained on textual data Reza Marzban Christopher Crick FAtt 27 3 0 20 Oct 2020
To Tune or Not To Tune? How About the Best of Both Worlds? Ran A. Wang Haibo Su Chunye Wang Kailin Ji J. Ding VLM 36 17 0 09 Jul 2019
Aspect Based Sentiment Analysis with Gated Convolutional Networks Wei Xue Tao Li 33 536 0 18 May 2018
Can Neural Machine Translation be Improved with User Feedback? Julia Kreutzer Shahram Khadivi E. Matusov Stefan Riezler 19 93 0 16 Apr 2018
Dual-Path Convolutional Image-Text Embeddings with Instance Loss Zhedong Zheng Liang Zheng Michael Garrett Yi Yang Mingliang Xu Yi-Dong Shen 27 470 0 15 Nov 2017
Convolutional Neural Networks for Sentence Classification Yoon Kim AILaw VLM 312 13,377 0 25 Aug 2014