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Character-level Convolutional Networks for Text Classification

Character-level Convolutional Networks for Text Classification

4 September 2015
Xiang Zhang
Jiaqi Zhao
Yann LeCun
ArXivPDFHTML

Papers citing "Character-level Convolutional Networks for Text Classification"

50 / 901 papers shown
Title
L-Shapley and C-Shapley: Efficient Model Interpretation for Structured
  Data
L-Shapley and C-Shapley: Efficient Model Interpretation for Structured Data
Jianbo Chen
Le Song
Martin J. Wainwright
Michael I. Jordan
FAtt
TDI
16
213
0
08 Aug 2018
ODSQA: Open-domain Spoken Question Answering Dataset
ODSQA: Open-domain Spoken Question Answering Dataset
Chia-Hsuan Lee
Shang-Ming Wang
Huan-Cheng Chang
Hung-yi Lee
RALM
30
52
0
07 Aug 2018
Tree-structured multi-stage principal component analysis (TMPCA): theory
  and applications
Tree-structured multi-stage principal component analysis (TMPCA): theory and applications
Yuanhang Su
Ruiyuan Lin
C.-C. Jay Kuo
14
29
0
22 Jul 2018
A Multi-sentiment-resource Enhanced Attention Network for Sentiment
  Classification
A Multi-sentiment-resource Enhanced Attention Network for Sentiment Classification
Zeyang Lei
Yujiu Yang
Min Yang
Yi Liu
48
51
0
13 Jul 2018
JUMPER: Learning When to Make Classification Decisions in Reading
JUMPER: Learning When to Make Classification Decisions in Reading
Xianggen Liu
Lili Mou
Haotian Cui
Zhengdong Lu
Sen Song
32
20
0
06 Jul 2018
Sliced Recurrent Neural Networks
Sliced Recurrent Neural Networks
Zeping Yu
Gongshen Liu
26
41
0
06 Jul 2018
Sequence-to-Sequence Data Augmentation for Dialogue Language
  Understanding
Sequence-to-Sequence Data Augmentation for Dialogue Language Understanding
Yutai Hou
Yijia Liu
Wanxiang Che
Ting Liu
25
151
0
04 Jul 2018
Learning K-way D-dimensional Discrete Codes for Compact Embedding
  Representations
Learning K-way D-dimensional Discrete Codes for Compact Embedding Representations
Ting-Li Chen
Martin Renqiang Min
Yizhou Sun
26
70
0
21 Jun 2018
Multimodal feature fusion for CNN-based gait recognition: an empirical
  comparison
Multimodal feature fusion for CNN-based gait recognition: an empirical comparison
F. M. Castro
M. Marín-Jiménez
Nicolás Guil Mata
N. P. D. L. Blanca
CVBM
29
60
0
19 Jun 2018
GILE: A Generalized Input-Label Embedding for Text Classification
GILE: A Generalized Input-Label Embedding for Text Classification
Nikolaos Pappas
James Henderson
AI4TS
AILaw
VLM
27
79
0
16 Jun 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
54
17
0
14 Jun 2018
Adapting Neural Text Classification for Improved Software Categorization
Adapting Neural Text Classification for Improved Software Categorization
Alexander LeClair
Zachary Eberhart
Collin McMillan
8
34
0
05 Jun 2018
Learning Semantic Sentence Embeddings using Sequential Pair-wise
  Discriminator
Learning Semantic Sentence Embeddings using Sequential Pair-wise Discriminator
Badri N. Patro
V. Kurmi
Sandeep Kumar
Vinay P. Namboodiri
29
32
0
03 Jun 2018
Provably convergent acceleration in factored gradient descent with
  applications in matrix sensing
Provably convergent acceleration in factored gradient descent with applications in matrix sensing
Tayo Ajayi
David Mildebrath
Anastasios Kyrillidis
Shashanka Ubaru
Georgios Kollias
K. Bouchard
23
1
0
01 Jun 2018
Learn to Combine Modalities in Multimodal Deep Learning
Learn to Combine Modalities in Multimodal Deep Learning
Kuan Liu
Yanen Li
N. Xu
Premkumar Natarajan
14
149
0
29 May 2018
Abstractive Text Classification Using Sequence-to-convolution Neural
  Networks
Abstractive Text Classification Using Sequence-to-convolution Neural Networks
Taehoon Kim
Jihoon Yang
VLM
33
11
0
20 May 2018
Chief complaint classification with recurrent neural networks
Chief complaint classification with recurrent neural networks
Scott H. Lee
Drew Levin
Patrick D. Finley
C. Heilig
21
30
0
19 May 2018
Omega: An Architecture for AI Unification
Omega: An Architecture for AI Unification
Eray Özkural
AI4CE
26
1
0
16 May 2018
Double Embeddings and CNN-based Sequence Labeling for Aspect Extraction
Double Embeddings and CNN-based Sequence Labeling for Aspect Extraction
Hu Xu
Bing-Quan Liu
Lei Shu
Philip S. Yu
24
325
0
11 May 2018
QANet: Combining Local Convolution with Global Self-Attention for
  Reading Comprehension
QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension
Adams Wei Yu
David Dohan
Minh-Thang Luong
Rui Zhao
Kai Chen
Mohammad Norouzi
Quoc V. Le
RALM
AIMat
35
1,092
0
23 Apr 2018
Modelling customer online behaviours with neural networks: applications
  to conversion prediction and advertising retargeting
Modelling customer online behaviours with neural networks: applications to conversion prediction and advertising retargeting
Yanwei Cui
Rogatien Tobossi
Olivia Vigouroux
MU
39
11
0
20 Apr 2018
Reinforced Co-Training
Reinforced Co-Training
Jiawei Wu
Lei Li
William Yang Wang
OffRL
25
51
0
17 Apr 2018
Learning General Purpose Distributed Sentence Representations via Large
  Scale Multi-task Learning
Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning
Sandeep Subramanian
Adam Trischler
Yoshua Bengio
C. Pal
SSL
29
328
0
30 Mar 2018
Investigating Capsule Networks with Dynamic Routing for Text
  Classification
Investigating Capsule Networks with Dynamic Routing for Text Classification
Wei Zhao
Jianbo Ye
Min Yang
Zeyang Lei
Suofei Zhang
Zhou Zhao
33
367
0
29 Mar 2018
Learning Environmental Sounds with Multi-scale Convolutional Neural
  Network
Learning Environmental Sounds with Multi-scale Convolutional Neural Network
Boqing Zhu
Changjian Wang
Feng Liu
Jin Lei
Zengquan Lu
Yuxing Peng
20
64
0
25 Mar 2018
An Empirical Evaluation of Generic Convolutional and Recurrent Networks
  for Sequence Modeling
An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling
Shaojie Bai
J. Zico Kolter
V. Koltun
DRL
42
4,731
0
04 Mar 2018
Learning Longer-term Dependencies in RNNs with Auxiliary Losses
Learning Longer-term Dependencies in RNNs with Auxiliary Losses
Trieu H. Trinh
Andrew M. Dai
Thang Luong
Quoc V. Le
41
179
0
01 Mar 2018
Memory-based Parameter Adaptation
Memory-based Parameter Adaptation
Pablo Sprechmann
Siddhant M. Jayakumar
Jack W. Rae
Alexander Pritzel
Adria Puigdomenech Badia
Benigno Uria
Oriol Vinyals
Demis Hassabis
Razvan Pascanu
Charles Blundell
ODL
OOD
VLM
16
101
0
28 Feb 2018
Convolutional Neural Networks for Toxic Comment Classification
Convolutional Neural Networks for Toxic Comment Classification
S. Georgakopoulos
S. Tasoulis
Aristidis G. Vrahatis
V. Plagianakos
27
217
0
27 Feb 2018
OhioState at SemEval-2018 Task 7: Exploiting Data Augmentation for
  Relation Classification in Scientific Papers using Piecewise Convolutional
  Neural Networks
OhioState at SemEval-2018 Task 7: Exploiting Data Augmentation for Relation Classification in Scientific Papers using Piecewise Convolutional Neural Networks
D. Dhyani
20
1
0
25 Feb 2018
Ranking Sentences for Extractive Summarization with Reinforcement
  Learning
Ranking Sentences for Extractive Summarization with Reinforcement Learning
Shashi Narayan
Shay B. Cohen
Mirella Lapata
42
545
0
23 Feb 2018
Adversarial Texts with Gradient Methods
Zhitao Gong
Wenlu Wang
Yangqiu Song
D. Song
Wei-Shinn Ku
AAML
34
77
0
22 Jan 2018
Black-box Generation of Adversarial Text Sequences to Evade Deep
  Learning Classifiers
Black-box Generation of Adversarial Text Sequences to Evade Deep Learning Classifiers
Ji Gao
Jack Lanchantin
M. Soffa
Yanjun Qi
AAML
47
708
0
13 Jan 2018
On-Chip Communication Network for Efficient Training of Deep
  Convolutional Networks on Heterogeneous Manycore Systems
On-Chip Communication Network for Efficient Training of Deep Convolutional Networks on Heterogeneous Manycore Systems
Wonje Choi
Karthik Duraisamy
R. Kim
J. Doppa
P. Pande
Diana Marculescu
R. Marculescu
21
66
0
05 Dec 2017
Always Lurking: Understanding and Mitigating Bias in Online Human
  Trafficking Detection
Always Lurking: Understanding and Mitigating Bias in Online Human Trafficking Detection
K. Hundman
Thamme Gowda
Mayank Kejriwal
Benedikt Boecking
32
21
0
03 Dec 2017
Learning from Between-class Examples for Deep Sound Recognition
Learning from Between-class Examples for Deep Sound Recognition
Yuji Tokozume
Yoshitaka Ushiku
Tatsuya Harada
SSL
27
236
0
28 Nov 2017
Dual-Path Convolutional Image-Text Embeddings with Instance Loss
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
Bringing Semantic Structures to User Intent Detection in Online Medical
  Queries
Bringing Semantic Structures to User Intent Detection in Online Medical Queries
Chenwei Zhang
Nan Du
Wei Fan
Yaliang Li
Chun-Ta Lu
Philip S. Yu
23
13
0
22 Oct 2017
Detecting Online Hate Speech Using Context Aware Models
Detecting Online Hate Speech Using Context Aware Models
Lei Gao
Ruihong Huang
14
245
0
20 Oct 2017
Deep Automated Multi-task Learning
Deep Automated Multi-task Learning
Davis Liang
Yang Shu
AIMat
43
9
0
16 Sep 2017
Natural Language Inference over Interaction Space
Natural Language Inference over Interaction Space
Yichen Gong
Heng Luo
Jian Zhang
26
264
0
13 Sep 2017
Hash Embeddings for Efficient Word Representations
Hash Embeddings for Efficient Word Representations
Dan Svenstrup
Jonas Meinertz Hansen
Ole Winther
17
75
0
12 Sep 2017
Learning the PE Header, Malware Detection with Minimal Domain Knowledge
Learning the PE Header, Malware Detection with Minimal Domain Knowledge
Edward Raff
Jared Sylvester
Charles K. Nicholas
28
118
0
05 Sep 2017
Learning Chinese Word Representations From Glyphs Of Characters
Learning Chinese Word Representations From Glyphs Of Characters
Tzu-Ray Su
Hung-yi Lee
29
86
0
16 Aug 2017
N-gram and Neural Language Models for Discriminating Similar Languages
N-gram and Neural Language Models for Discriminating Similar Languages
Andre Cianflone
Leila Kosseim
27
14
0
11 Aug 2017
Domain Adaptation for Resume Classification Using Convolutional Neural
  Networks
Domain Adaptation for Resume Classification Using Convolutional Neural Networks
L. Sayfullina
Eric Malmi
Yiping Liao
Alexander Jung
31
20
0
18 Jul 2017
Do Convolutional Networks need to be Deep for Text Classification ?
Do Convolutional Networks need to be Deep for Text Classification ?
Hoa T. Le
Christophe Cerisara
Alexandre Denis
VLM
26
105
0
13 Jul 2017
Towards Crafting Text Adversarial Samples
Towards Crafting Text Adversarial Samples
Suranjana Samanta
S. Mehta
AAML
27
219
0
10 Jul 2017
CRNN: A Joint Neural Network for Redundancy Detection
CRNN: A Joint Neural Network for Redundancy Detection
Xinyu Fu
Eugene Ch’ng
U. Aickelin
Simon See
26
34
0
04 Jun 2017
Adversarial Generation of Natural Language
Adversarial Generation of Natural Language
Sai Rajeswar
Sandeep Subramanian
Francis Dutil
C. Pal
Aaron Courville
GAN
24
204
0
31 May 2017
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