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A Primer on Neural Network Models for Natural Language Processing

A Primer on Neural Network Models for Natural Language Processing

2 October 2015
Yoav Goldberg
    AI4CE
ArXivPDFHTML

Papers citing "A Primer on Neural Network Models for Natural Language Processing"

23 / 73 papers shown
Title
Decision support from financial disclosures with deep neural networks
  and transfer learning
Decision support from financial disclosures with deep neural networks and transfer learning
Mathias Kraus
Stefan Feuerriegel
AIFin
24
261
0
11 Oct 2017
Computation Error Analysis of Block Floating Point Arithmetic Oriented
  Convolution Neural Network Accelerator Design
Computation Error Analysis of Block Floating Point Arithmetic Oriented Convolution Neural Network Accelerator Design
Zhourui Song
Zhenyu Liu
Dongsheng Wang
23
41
0
22 Sep 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
Erik Cambria
35
2,823
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
Semantic Specialisation of Distributional Word Vector Spaces using
  Monolingual and Cross-Lingual Constraints
Semantic Specialisation of Distributional Word Vector Spaces using Monolingual and Cross-Lingual Constraints
N. Mrksic
Ivan Vulić
Diarmuid Ó Séaghdha
Ira Leviant
Roi Reichart
Milica Gasic
Anna Korhonen
S. Young
20
224
0
01 Jun 2017
Are distributional representations ready for the real world? Evaluating
  word vectors for grounded perceptual meaning
Are distributional representations ready for the real world? Evaluating word vectors for grounded perceptual meaning
L. Lucy
Jon Gauthier
NAI
26
60
0
31 May 2017
Survey of the State of the Art in Natural Language Generation: Core
  tasks, applications and evaluation
Survey of the State of the Art in Natural Language Generation: Core tasks, applications and evaluation
Albert Gatt
E. Krahmer
LM&MA
ELM
27
808
0
29 Mar 2017
Native Language Identification using Stacked Generalization
Native Language Identification using Stacked Generalization
S. Malmasi
Mark Dras
11
39
0
19 Mar 2017
Neural Machine Translation and Sequence-to-sequence Models: A Tutorial
Neural Machine Translation and Sequence-to-sequence Models: A Tutorial
Graham Neubig
AIMat
29
171
0
05 Mar 2017
Random vector generation of a semantic space
Random vector generation of a semantic space
Jean-François Delpech
Sabine Ploux
27
0
0
05 Mar 2017
Exploiting Domain Knowledge via Grouped Weight Sharing with Application
  to Text Categorization
Exploiting Domain Knowledge via Grouped Weight Sharing with Application to Text Categorization
Ye Zhang
Matthew Lease
Byron C. Wallace
8
15
0
08 Feb 2017
Byte-based Language Identification with Deep Convolutional Networks
Byte-based Language Identification with Deep Convolutional Networks
Johannes Bjerva
13
16
0
28 Sep 2016
Semantic Tagging with Deep Residual Networks
Semantic Tagging with Deep Residual Networks
Johannes Bjerva
Barbara Plank
Johan Bos
VLM
SSeg
17
78
0
22 Sep 2016
Rationale-Augmented Convolutional Neural Networks for Text
  Classification
Rationale-Augmented Convolutional Neural Networks for Text Classification
Ye Zhang
Iain J. Marshall
Byron C. Wallace
26
161
0
14 May 2016
DeepPicker: a Deep Learning Approach for Fully Automated Particle
  Picking in Cryo-EM
DeepPicker: a Deep Learning Approach for Fully Automated Particle Picking in Cryo-EM
Feng Wang
Huichao Gong
Gaochao liu
Meijing Li
Chuangye Yan
Tian Xia
Xueming Li
Jianyang Zeng
28
168
0
06 May 2016
Multilingual Part-of-Speech Tagging with Bidirectional Long Short-Term
  Memory Models and Auxiliary Loss
Multilingual Part-of-Speech Tagging with Bidirectional Long Short-Term Memory Models and Auxiliary Loss
Barbara Plank
Anders Søgaard
Yoav Goldberg
16
407
0
19 Apr 2016
Stack-propagation: Improved Representation Learning for Syntax
Stack-propagation: Improved Representation Learning for Syntax
Yuan Zhang
David J. Weiss
37
87
0
21 Mar 2016
Easy-First Dependency Parsing with Hierarchical Tree LSTMs
Easy-First Dependency Parsing with Hierarchical Tree LSTMs
E. Kiperwasser
Yoav Goldberg
18
65
0
01 Mar 2016
Benefits of depth in neural networks
Benefits of depth in neural networks
Matus Telgarsky
148
602
0
14 Feb 2016
A Sensitivity Analysis of (and Practitioners' Guide to) Convolutional
  Neural Networks for Sentence Classification
A Sensitivity Analysis of (and Practitioners' Guide to) Convolutional Neural Networks for Sentence Classification
Ye Zhang
Byron C. Wallace
AAML
42
1,189
0
13 Oct 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,138
0
06 Jun 2015
Automatic differentiation in machine learning: a survey
Automatic differentiation in machine learning: a survey
A. G. Baydin
Barak A. Pearlmutter
Alexey Radul
J. Siskind
PINN
AI4CE
ODL
34
2,746
0
20 Feb 2015
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
266
7,636
0
03 Jul 2012
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