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Convolutional Neural Networks for Sentence Classification
v1v2 (latest)

Convolutional Neural Networks for Sentence Classification

25 August 2014
Yoon Kim
    AILawVLM
ArXiv (abs)PDFHTML

Papers citing "Convolutional Neural Networks for Sentence Classification"

50 / 2,711 papers shown
Title
Cooperative neural networks (CoNN): Exploiting prior independence
  structure for improved classification
Cooperative neural networks (CoNN): Exploiting prior independence structure for improved classification
H. Shrivastava
Eugene Bart
B. Price
H. Dai
Bo Dai
S. Aluru
55
10
0
01 Jun 2019
Adversarial Generation and Encoding of Nested Texts
Adversarial Generation and Encoding of Nested Texts
A. Rozental
GAN
28
0
0
01 Jun 2019
Examining Structure of Word Embeddings with PCA
Examining Structure of Word Embeddings with PCA
Tomáš Musil
73
12
0
31 May 2019
Fine-Grained Spoiler Detection from Large-Scale Review Corpora
Fine-Grained Spoiler Detection from Large-Scale Review Corpora
Mengting Wan
Rishabh Misra
Ndapandula Nakashole
Julian McAuley
68
132
0
31 May 2019
Learning Semantic Annotations for Tabular Data
Learning Semantic Annotations for Tabular Data
Jiaoyan Chen
Ernesto Jiménez-Ruiz
Ian Horrocks
Charles Sutton
LMTD
69
56
0
30 May 2019
A Compare-Aggregate Model with Latent Clustering for Answer Selection
A Compare-Aggregate Model with Latent Clustering for Answer Selection
Seunghyun Yoon
Franck Dernoncourt
Doo Soon Kim
Trung Bui
Kyomin Jung
72
69
0
30 May 2019
Large Scale Question Paraphrase Retrieval with Smoothed Deep Metric
  Learning
Large Scale Question Paraphrase Retrieval with Smoothed Deep Metric Learning
Daniele Bonadiman
Anjishnu Kumar
Arpit Mittal
52
13
0
29 May 2019
Neural Review Rating Prediction with Hierarchical Attentions and Latent
  Factors
Neural Review Rating Prediction with Hierarchical Attentions and Latent Factors
Xianchen Wang
Hongtao Liu
Peiyi Wang
Fangzhao Wu
Hongyan Xu
Wenjun Wang
Xing Xie
30
11
0
29 May 2019
Revision in Continuous Space: Unsupervised Text Style Transfer without
  Adversarial Learning
Revision in Continuous Space: Unsupervised Text Style Transfer without Adversarial Learning
Dayiheng Liu
Jie Fu
Yidan Zhang
C. Pal
Jiancheng Lv
DRL
76
49
0
29 May 2019
Learning Task-specific Representation for Novel Words in Sequence
  Labeling
Learning Task-specific Representation for Novel Words in Sequence Labeling
Minlong Peng
Qi Zhang
Xiaoyu Xing
Tao Gui
Jinlan Fu
Xuanjing Huang
70
8
0
29 May 2019
Using Ontologies To Improve Performance In Massively Multi-label
  Prediction Models
Using Ontologies To Improve Performance In Massively Multi-label Prediction Models
E. Steinberg
Peter J. Liu
NoLa
54
4
0
28 May 2019
Adaptive Region Embedding for Text Classification
Adaptive Region Embedding for Text Classification
Liuyu Xiang
Xiaoming Jin
Lan Yi
Guiguang Ding
71
9
0
28 May 2019
Overlearning Reveals Sensitive Attributes
Overlearning Reveals Sensitive Attributes
Congzheng Song
Vitaly Shmatikov
97
157
0
28 May 2019
DSReg: Using Distant Supervision as a Regularizer
DSReg: Using Distant Supervision as a Regularizer
Yuxian Meng
Muyu Li
Xiaoya Li
Wei Wu
Jiwei Li
84
3
0
28 May 2019
Leap-LSTM: Enhancing Long Short-Term Memory for Text Categorization
Leap-LSTM: Enhancing Long Short-Term Memory for Text Categorization
Ting-Hao 'Kenneth' Huang
Gehui Shen
Zhihong Deng
VLMAI4TS
48
22
0
28 May 2019
A Self-Attention Joint Model for Spoken Language Understanding in
  Situational Dialog Applications
A Self-Attention Joint Model for Spoken Language Understanding in Situational Dialog Applications
Mengyang Chen
Jin Zeng
Jie Lou
61
8
0
27 May 2019
Disentangling Dynamics and Returns: Value Function Decomposition with
  Future Prediction
Disentangling Dynamics and Returns: Value Function Decomposition with Future Prediction
Hongyao Tang
Jianye Hao
Guangyong Chen
Pengfei Chen
Zhaopeng Meng
Yaodong Yang
Li Wang
35
2
0
27 May 2019
Harry Potter and the Action Prediction Challenge from Natural Language
Harry Potter and the Action Prediction Challenge from Natural Language
David Vilares
Carlos Gómez-Rodríguez
38
4
0
27 May 2019
On Mixup Training: Improved Calibration and Predictive Uncertainty for
  Deep Neural Networks
On Mixup Training: Improved Calibration and Predictive Uncertainty for Deep Neural Networks
S. Thulasidasan
Gopinath Chennupati
J. Bilmes
Tanmoy Bhattacharya
S. Michalak
UQCV
134
547
0
27 May 2019
Extreme Multi-Label Legal Text Classification: A case study in EU
  Legislation
Extreme Multi-Label Legal Text Classification: A case study in EU Legislation
Ilias Chalkidis
Manos Fergadiotis
Prodromos Malakasiotis
Nikolaos Aletras
Ion Androutsopoulos
AILaw
86
75
0
26 May 2019
Contextual Out-of-Domain Utterance Handling With Counterfeit Data
  Augmentation
Contextual Out-of-Domain Utterance Handling With Counterfeit Data Augmentation
Sungjin Lee
Igor Shalyminov
OODD
37
7
0
24 May 2019
A Dual Reinforcement Learning Framework for Unsupervised Text Style
  Transfer
A Dual Reinforcement Learning Framework for Unsupervised Text Style Transfer
Fuli Luo
Peng Li
Jie Zhou
Pengcheng Yang
Baobao Chang
Zhifang Sui
Xu Sun
OffRL
78
173
0
24 May 2019
Action Assembly: Sparse Imitation Learning for Text Based Games with
  Combinatorial Action Spaces
Action Assembly: Sparse Imitation Learning for Text Based Games with Combinatorial Action Spaces
Chen Tessler
Tom Zahavy
Deborah Cohen
D. Mankowitz
Shie Mannor
109
18
0
23 May 2019
An Investigation of Transfer Learning-Based Sentiment Analysis in
  Japanese
An Investigation of Transfer Learning-Based Sentiment Analysis in Japanese
Enkhbold Bataa
Joshua Wu
78
33
0
23 May 2019
AMSI-Based Detection of Malicious PowerShell Code Using Contextual
  Embeddings
AMSI-Based Detection of Malicious PowerShell Code Using Contextual Embeddings
Amir Rubin
Shay Kels
Danny Hendler
65
2
0
23 May 2019
Multi-hop Reading Comprehension via Deep Reinforcement Learning based
  Document Traversal
Multi-hop Reading Comprehension via Deep Reinforcement Learning based Document Traversal
Alex Long
Joel Mason
Alan Blair
Wei Wang
RALM
64
2
0
23 May 2019
Adaptive norms for deep learning with regularized Newton methods
Adaptive norms for deep learning with regularized Newton methods
Jonas Köhler
Leonard Adolphs
Aurelien Lucchi
ODL
47
12
0
22 May 2019
A framework for the extraction of Deep Neural Networks by leveraging
  public data
A framework for the extraction of Deep Neural Networks by leveraging public data
Soham Pal
Yash Gupta
Aditya Shukla
Aditya Kanade
S. Shevade
V. Ganapathy
FedMLMLAUMIACV
87
56
0
22 May 2019
Augmenting Data with Mixup for Sentence Classification: An Empirical
  Study
Augmenting Data with Mixup for Sentence Classification: An Empirical Study
Hongyu Guo
Yongyi Mao
Richong Zhang
83
237
0
22 May 2019
Enhancing Domain Word Embedding via Latent Semantic Imputation
Enhancing Domain Word Embedding via Latent Semantic Imputation
S. Yao
Dantong Yu
Keli Xiao
68
11
0
21 May 2019
Answering while Summarizing: Multi-task Learning for Multi-hop QA with
  Evidence Extraction
Answering while Summarizing: Multi-task Learning for Multi-hop QA with Evidence Extraction
Kosuke Nishida
Kyosuke Nishida
Masaaki Nagata
Atsushi Otsuka
Itsumi Saito
Hisako Asano
J. Tomita
RALM
79
102
0
21 May 2019
Predicting Annotation Difficulty to Improve Task Routing and Model
  Performance for Biomedical Information Extraction
Predicting Annotation Difficulty to Improve Task Routing and Model Performance for Biomedical Information Extraction
Yinfei Yang
Oshin Agarwal
Chris Tar
Byron C. Wallace
A. Nenkova
57
14
0
19 May 2019
Knowledge Transferring via Model Aggregation for Online Social Care
Knowledge Transferring via Model Aggregation for Online Social Care
Shaoxiong Ji
Guodong Long
Shirui Pan
Tianqing Zhu
Jing Jiang
Sen Wang
Xue Li
37
0
0
19 May 2019
A Multi-Task Learning Framework for Extracting Drugs and Their
  Interactions from Drug Labels
A Multi-Task Learning Framework for Extracting Drugs and Their Interactions from Drug Labels
Tung Tran
Ramakanth Kavuluru
H. Kilicoglu
18
6
0
17 May 2019
Reference-Based Sequence Classification
Reference-Based Sequence Classification
Zengyou He
Guangyao Xu
Chaohua Sheng
Bo Xu
Q. Zou
40
0
0
17 May 2019
Deep Unified Multimodal Embeddings for Understanding both Content and
  Users in Social Media Networks
Deep Unified Multimodal Embeddings for Understanding both Content and Users in Social Media Networks
Karan Sikka
Lucas Van Bramer
Ajay Divakaran
94
2
0
17 May 2019
Gated Convolutional Neural Networks for Domain Adaptation
Gated Convolutional Neural Networks for Domain Adaptation
Avinash Madasu
Anvesh Rao Vijjini
53
9
0
16 May 2019
Controlled CNN-based Sequence Labeling for Aspect Extraction
Controlled CNN-based Sequence Labeling for Aspect Extraction
Lei Shu
Hu Xu
Bing-Quan Liu
35
14
0
15 May 2019
SmartBullets: A Cloud-Assisted Bullet Screen Filter based on Deep
  Learning
SmartBullets: A Cloud-Assisted Bullet Screen Filter based on Deep Learning
Haoran Niu
Jiangnan Li
Yu Zhao
50
2
0
15 May 2019
Is Word Segmentation Necessary for Deep Learning of Chinese
  Representations?
Is Word Segmentation Necessary for Deep Learning of Chinese Representations?
Xiaoya Li
Yuxian Meng
Xiaofei Sun
Qinghong Han
Arianna Yuan
Jiwei Li
73
128
0
14 May 2019
Convolutional Poisson Gamma Belief Network
Convolutional Poisson Gamma Belief Network
Chaojie Wang
Bo Chen
Sucheng Xiao
Mingyuan Zhou
89
15
0
14 May 2019
1D Convolutional Neural Networks and Applications: A Survey
1D Convolutional Neural Networks and Applications: A Survey
S. Kiranyaz
Onur Avcı
Osama Abdeljaber
T. Ince
Moncef Gabbouj
D. Inman
3DV
120
1,972
0
09 May 2019
MetaPred: Meta-Learning for Clinical Risk Prediction with Limited
  Patient Electronic Health Records
MetaPred: Meta-Learning for Clinical Risk Prediction with Limited Patient Electronic Health Records
Xi Sheryl Zhang
Fengyi Tang
H. H. Dodge
Jiayu Zhou
Fei Wang
54
110
0
08 May 2019
Taming Pretrained Transformers for Extreme Multi-label Text
  Classification
Taming Pretrained Transformers for Extreme Multi-label Text Classification
Wei-Cheng Chang
Hsiang-Fu Yu
Kai Zhong
Yiming Yang
Inderjit Dhillon
77
20
0
07 May 2019
Comprehensible Context-driven Text Game Playing
Comprehensible Context-driven Text Game Playing
Xusen Yin
Jonathan May
70
33
0
06 May 2019
Effectiveness of Self Normalizing Neural Networks for Text
  Classification
Effectiveness of Self Normalizing Neural Networks for Text Classification
Avinash Madasu
Anvesh Rao Vijjini
34
7
0
03 May 2019
Don't Settle for Average, Go for the Max: Fuzzy Sets and Max-Pooled Word
  Vectors
Don't Settle for Average, Go for the Max: Fuzzy Sets and Max-Pooled Word Vectors
V. Zhelezniak
Aleksandar Savkov
April Shen
Francesco Moramarco
Jack Flann
Nils Y. Hammerla
61
40
0
30 Apr 2019
A Content-Based Approach to Email Triage Action Prediction: Exploration
  and Evaluation
A Content-Based Approach to Email Triage Action Prediction: Exploration and Evaluation
Sudipto Mukherjee
Ke Jiang
19
0
0
30 Apr 2019
One-Shot Learning for Text-to-SQL Generation
One-Shot Learning for Text-to-SQL Generation
Dongjun Lee
Jaesik Yoon
Jongyun Song
Sang-gil Lee
Sungroh Yoon
LMTD
71
13
0
26 Apr 2019
An Attentional Neural Network Architecture for Folk Song Classification
An Attentional Neural Network Architecture for Folk Song Classification
Aitor Arronte Alvarez
Francisco Gómez-Martín
18
1
0
24 Apr 2019
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