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Capturing the compositional process which maps the meaning of words to that of documents is a central challenge for researchers in Natural Language Processing and Information Retrieval.
Learning Distributed Representations of Concepts
G. E. Hinton · 1986
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A Neural Probabilistic Language Model
Y. Bengio, R. Ducharme, P. Vincent, and C. Jauvin · 2003
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Twitter Sentiment Classification using Distant Supervision
A. Go, R. Bhayani, and L. Huang · 2009
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Composition in distributional models of semantics
J. Mitchell and M. Lapata · 2010
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Deconvolutional Networks
M. D. Zeiler, D. Krishnan, G. W. Taylor, and R. Fergus · 2010
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Natural language processing (almost) from scratch
R. Collobert, J. Weston, L. Bottou, M. Karlen, K. Kavukcuoglu, and P. Kuksa · 2011
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Experimental support for a categorical compositional distributional model of meaning
E. Grefenstette and M. Sadrzadeh · 2011
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Transforming Auto-encoders
G. E. Hinton, A. Krizhevsky, and S. D. Wang · 2011
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Learning Word Vectors for Sentiment Analysis
A. L. Maas, R. E. Daly, P. T. Pham, D. Huang, A. Y. Ng, and C. Potts · 2011
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Semi-Supervised Recursive Autoencoders for Predicting Sentiment Distributions
R. Socher, J. Pennington, E. H. Huang, A. Y. Ng, and C. D. Manning · 2011
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Generating Text with Recurrent Neural Networks
I. Sutskever, J. Martens, and G. Hinton · 2011
Cited alongside, same era.
Adaptive Deconvolutional Networks for Mid and High Level Feature Learning
M. D. Zeiler, G. W. Taylor, and R. Fergus · 2011
Cited alongside, same era.
Training Restricted Boltzmann Machines on Word Observations
G. E. Dahl, R. P. Adams, and H. Larochelle · 2012
Cited alongside, same era.
Imagenet classification with deep convolutional neural networks
A. Krizhevsky, I. Sutskever, and G. Hinton · 2012
Cited alongside, same era.
Continuous Space Translation Models for Phrase-Based Statistical Machine Translation
Knowledge Matters: Importance of Prior Information for Optimization
C. Gulcehre and Y. Bengio · 2013
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The role of syntax in vector space models of compositional semantics
K. M. Hermann and P. Blunsom · 2013
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Recurrent Continuous Translation Models
N. Kalchbrenner and P. Blunsom · 2013
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Recurrent Convolutional Neural Networks for Discourse Compositionality
N. Kalchbrenner and P. Blunsom · 2013
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Distributed Representations of Words and Phrases and their Compositionality
T. Mikolov, K. Chen, G. Corrado, and J. Dean · 2013
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Deep Inside Convolutional Networks : Visualising Image Classification Models and Saliency Maps
K. Simonyan, A. Vedaldi, and A. Zisserman · 2013
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H. Schwenk · 2012
Cited alongside, same era.
Semantic Compositionality through Recursive Matrix-Vector Spaces
R. Socher, B. Huval, C. D. Manning, and A. Y. Ng · 2012
Cited alongside, same era.
Baselines and Bigrams: Simple , Good Sentiment and Topic Classification
S. Wang and C. D. Manning · 2012
Cited alongside, same era.
Visualizing and Understanding Convolutional Networks
M. D. Zeiler and R. Fergus · 2012
Cited alongside, same era.
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Fast and Robust Neural Network Joint Models for Statistical Machine Translation
J. Devlin, R. Zbib, Z. Huang, T. Lamar, R. Schwartz, and J. Makhoul · 2014
Closest in time.
A Convolutional Neural Network for Modelling Sentences
N. Kalchbrenner, E. Grefenstette, and P. Blunsom · 2014
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Distributed Representations of Sentences and Documents
Q. Le and T. Mikolov · 2014
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