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Towards a Seamless Integration of Word Senses into Downstream NLP
  Applications

Towards a Seamless Integration of Word Senses into Downstream NLP Applications

18 October 2017
Mohammad Taher Pilehvar
Jose Camacho-Collados
Roberto Navigli
Nigel Collier
ArXivPDFHTML

Papers citing "Towards a Seamless Integration of Word Senses into Downstream NLP Applications"

21 / 21 papers shown
Title
Embedding Words and Senses Together via Joint Knowledge-Enhanced
  Training
Embedding Words and Senses Together via Joint Knowledge-Enhanced Training
Massimiliano Mancini
Jose Camacho-Collados
Ignacio Iacobacci
Roberto Navigli
45
78
0
08 Dec 2016
A Large-Scale Multilingual Disambiguation of Glosses
A Large-Scale Multilingual Disambiguation of Glosses
Jose Camacho-Collados
Claudio Delli Bovi
Alessandro Raganato
Roberto Navigli
23
22
0
24 Aug 2016
De-Conflated Semantic Representations
De-Conflated Semantic Representations
Mohammad Taher Pilehvar
Nigel Collier
NAI
48
92
0
05 Aug 2016
A Game-Theoretic Approach to Word Sense Disambiguation
A Game-Theoretic Approach to Word Sense Disambiguation
Rocco Tripodi
Marcello Pelillo
41
66
0
24 Jun 2016
Theano: A Python framework for fast computation of mathematical
  expressions
Theano: A Python framework for fast computation of mathematical expressions
The Theano Development Team
Rami Al-Rfou
Guillaume Alain
Amjad Almahairi
Christof Angermüller
...
Kelvin Xu
Lijun Xue
Li Yao
Saizheng Zhang
Ying Zhang
119
2,338
0
09 May 2016
Bilingual Learning of Multi-sense Embeddings with Discrete Autoencoders
Bilingual Learning of Multi-sense Embeddings with Discrete Autoencoders
Simon Suster
Ivan Titov
Gertjan van Noord
SSL
46
43
0
30 Mar 2016
Efficient Character-level Document Classification by Combining
  Convolution and Recurrent Layers
Efficient Character-level Document Classification by Combining Convolution and Recurrent Layers
Yijun Xiao
Kyunghyun Cho
26
219
0
01 Feb 2016
Character-Aware Neural Language Models
Character-Aware Neural Language Models
Yoon Kim
Yacine Jernite
David Sontag
Alexander M. Rush
64
1,665
0
26 Aug 2015
Improved Transition-Based Parsing by Modeling Characters instead of
  Words with LSTMs
Improved Transition-Based Parsing by Modeling Characters instead of Words with LSTMs
Miguel Ballesteros
Chris Dyer
Noah A. Smith
47
299
0
04 Aug 2015
AutoExtend: Extending Word Embeddings to Embeddings for Synsets and
  Lexemes
AutoExtend: Extending Word Embeddings to Embeddings for Synsets and Lexemes
S. Rothe
Hinrich Schütze
34
285
0
04 Jul 2015
Structured Training for Neural Network Transition-Based Parsing
Structured Training for Neural Network Transition-Based Parsing
David J. Weiss
Chris Alberti
Michael Collins
Slav Petrov
36
231
0
19 Jun 2015
Do Multi-Sense Embeddings Improve Natural Language Understanding?
Do Multi-Sense Embeddings Improve Natural Language Understanding?
Jiwei Li
Dan Jurafsky
54
234
0
02 Jun 2015
Efficient Non-parametric Estimation of Multiple Embeddings per Word in
  Vector Space
Efficient Non-parametric Estimation of Multiple Embeddings per Word in Vector Space
Arvind Neelakantan
Jeevan Shankar
Alexandre Passos
Andrew McCallum
54
464
0
24 Apr 2015
Effective Use of Word Order for Text Categorization with Convolutional
  Neural Networks
Effective Use of Word Order for Text Categorization with Convolutional Neural Networks
Rie Johnson
Tong Zhang
63
881
0
01 Dec 2014
Convolutional Neural Networks for Sentence Classification
Convolutional Neural Networks for Sentence Classification
Yoon Kim
AILaw
VLM
541
13,395
0
25 Aug 2014
Question Answering with Subgraph Embeddings
Question Answering with Subgraph Embeddings
Antoine Bordes
S. Chopra
Jason Weston
RALM
BDL
GNN
62
713
0
14 Jun 2014
A Convolutional Neural Network for Modelling Sentences
A Convolutional Neural Network for Modelling Sentences
Nal Kalchbrenner
Edward Grefenstette
Phil Blunsom
68
3,556
0
08 Apr 2014
A Statistical Parsing Framework for Sentiment Classification
A Statistical Parsing Framework for Sentiment Classification
Li Dong
Furu Wei
Shujie Liu
M. Zhou
Ke Xu
35
68
0
24 Jan 2014
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomas Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
534
31,406
0
16 Jan 2013
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
371
7,650
0
03 Jul 2012
Natural Language Processing (almost) from Scratch
Natural Language Processing (almost) from Scratch
R. Collobert
Jason Weston
Léon Bottou
Michael Karlen
Koray Kavukcuoglu
Pavel P. Kuksa
121
7,711
0
02 Mar 2011
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