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Comparative Study of CNN and RNN for Natural Language Processing

Comparative Study of CNN and RNN for Natural Language Processing

7 February 2017
Wenpeng Yin
Katharina Kann
Mo Yu
Hinrich Schütze
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Papers citing "Comparative Study of CNN and RNN for Natural Language Processing"

9 / 59 papers shown
Title
SeVeN: Augmenting Word Embeddings with Unsupervised Relation Vectors
SeVeN: Augmenting Word Embeddings with Unsupervised Relation Vectors
Luis Espinosa-Anke
Steven Schockaert
DRL
30
19
0
18 Aug 2018
Large-Scale Multi-Domain Belief Tracking with Knowledge Sharing
Large-Scale Multi-Domain Belief Tracking with Knowledge Sharing
Osman Ramadan
Paweł Budzianowski
Milica Gasic
23
115
0
17 Jul 2018
Question Answering over Freebase via Attentive RNN with Similarity Matrix based CNN
Yingqi Qu
Jie Liu
Liangyi Kang
Javen Qinfeng Shi
Dan Ye
34
53
0
10 Apr 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
Deep Burst Denoising
Deep Burst Denoising
Clément Godard
Kevin Blackburn-Matzen
M. Uyttendaele
26
124
0
15 Dec 2017
Deep Learning Paradigm with Transformed Monolingual Word Embeddings for
  Multilingual Sentiment Analysis
Deep Learning Paradigm with Transformed Monolingual Word Embeddings for Multilingual Sentiment Analysis
Yujie Lu
Tatsunori Mori
38
5
0
09 Oct 2017
Recent Trends in Deep Learning Based Natural Language Processing
Recent Trends in Deep Learning Based Natural Language Processing
Tom Young
Devamanyu Hazarika
Soujanya Poria
Min Zhang
35
2,824
0
09 Aug 2017
On the Role of Text Preprocessing in Neural Network Architectures: An
  Evaluation Study on Text Categorization and Sentiment Analysis
On the Role of Text Preprocessing in Neural Network Architectures: An Evaluation Study on Text Categorization and Sentiment Analysis
Jose Camacho-Collados
Mohammad Taher Pilehvar
40
141
0
06 Jul 2017
A Survey of Deep Learning Methods for Relation Extraction
A Survey of Deep Learning Methods for Relation Extraction
Shantanu Kumar
27
113
0
10 May 2017
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