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Continuous space word embeddings have received a great deal of attention in the natural language processing and machine learning communities for their ability to model term similarity and other relationships.
Distributional structure
Z. S. Harris · 1954
Earlier work this paper cites.
Local feedback in full-text retrieval systems
R. Attar and A. S. Fraenkel · 1977
Earlier work this paper cites.
Information Retrieval
C. J. van Rijsbergen · 1979
Earlier work this paper cites.
Query-specific automatic document classification
P. Willett · 1985
Earlier work this paper cites.
Indexing by latent semantic analysis
S. C. Deerwester, S. T. Dumais, T. K. Landauer, G. W. Furnas, and R. A. Harshman · 1990
Earlier work this paper cites.
A cache-based natural language model for speech recognition
R. Kuhn and R. De Mori · 1990
Earlier work this paper cites.
One sense per discourse
W. A. Gale, K. W. Church, and D. Yarowsky · 1992
Earlier work this paper cites.
Viewing morphology as an inference process
R. Krovetz · 1993
Earlier work this paper cites.
One sense per collocation
D. Yarowsky · 1993
Earlier work this paper cites.
Improving text retrieval for the routing problem using latent semantic indexing
D. Hull · 1994
Earlier work this paper cites.
Latent semantic indexing (LSI): TREC-3 report
S. T. Dumais · 1995
Earlier work this paper cites.
A comparison of classifiers and document representations for the routing problem
H. Schütze, D. A. Hull, and J. O. Pedersen · 1995
Earlier work this paper cites.
Unsupervised word sense disambiguation rivaling supervised methods
D. Yarowsky · 1995
Earlier work this paper cites.
Bayesian estimation methods for n-gram language model adaptation
M. Federico · 1996
Earlier work this paper cites.
Query expansion using local and global document analysis
J. Xu and W. B. Croft · 1996
Earlier work this paper cites.
Learning routing queries in a query zone
A. Singhal, M. Mitra, and C. Buckley · 1997
Earlier work this paper cites.
Probabilistic latent semantic indexing
T. Hofmann · 1999
Earlier work this paper cites.
Modeling long distance dependence in language: topic mixtures versus dynamic cache models
R. Iyer and M. Ostendorf · 1999
Cited alongside, same era.
Improving predictive inference under covariate shift by weighting the log-likelihood function
H. Shimodaira · 2000
Cited alongside, same era.
Relevance based language models
V. Lavrenko and W. B. Croft · 2001
Cited alongside, same era.
Query-sensitive similarity measures for the calculation of interdocument relationships
A. Tombros and C. J. van Rijsbergen · 2001
Cited alongside, same era.
Predicting query performance
S. Cronen-Townsend, Y. Zhou, and W. B. Croft · 2002
Cited alongside, same era.
Cumulated gain-based evaluation of ir techniques
K. Järvelin and J. Kekäläinen · 2002
Cited alongside, same era.
Multi-prototype vector-space models of word meaning
J. Reisinger and R. J. Mooney · 2010
Later among the works it cites.
Latent semantic indexing (lsi) fails for trec collections
A. Atreya and C. Elkan · 2011
Later among the works it cites.
Latent semantic indexing (lsi) fails for trec collections
A. Atreya and C. Elkan · 2011
Later among the works it cites.
Improving word representations via global context and multiple word prototypes
E. H. Huang, R. Socher, C. D. Manning, and A. Y. Ng · 2012
Later among the works it cites.
Efficient estimation of word representations in vector space
T. Mikolov, K. Chen, G. Corrado, and J. Dean · 2013
Later among the works it cites.
Distributed representations of words and phrases and their compositionality
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The effectiveness of query-specific hierarchic clustering in information retrieval
A. Tombros, R. Villa, and C. J. Van Rijsbergen · 2002
Cited alongside, same era.
Latent dirichlet allocation
D. M. Blei, A. Y. Ng, and M. I. Jordan · 2003
Cited alongside, same era.
Language Modeling for Information Retrieval
W. B. Croft and J. Lafferty · 2003
Cited alongside, same era.
Umass at trec 2004: Novelty and hard
N. Abdul-Jaleel, J. Allan, W. B. Croft, F. Diaz, L. Larkey, X. Li, D. Metzler, M. D. Smucker, T. Strohman, H. Turtle, and C. Wade · 2004
Cited alongside, same era.
Statistical language model adaptation: review and perspectives
J. R. Bellegarda · 2004
Cited alongside, same era.
Language model and speaking rate adaptation for spontaneous presentation speech recognition
H. Nanjo and T. Kawahara · 2004
Cited alongside, same era.
T. Mikolov, I. Sutskever, K. Chen, G. S. Corrado, and J. Dean · 2013
Later among the works it cites.
Neural word embedding as implicit matrix factorization
O. Levy and Y. Goldberg · 2014
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Glove: Global vectors for word representation
J. Pennington, R. Socher, and C. D. Manning · 2014
Later among the works it cites.
Glove: Global vectors for word representation
J. Pennington, R. Socher, and C. D. Manning · 2014
Later among the works it cites.
Learning concept embeddings for query expansion by quantum entropy minimization
A. Sordoni, Y. Bengio, and J.-Y. Nie · 2014
Later among the works it cites.
Condensed list relevance models
F. Diaz · 2015
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Word embedding based generalized language model for information retrieval
D. Ganguly, D. Roy, M. Mitra, and G. J. Jones · 2015
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Topical word embeddings
Y. Liu, Z. Liu, T.-S. Chua, and M. Sun · 2015
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Efficient non-parametric estimation of multiple embeddings per word in vector space
A. Neelakantan, J. Shankar, A. Passos, and A. McCallum · 2015
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sense2vec-a fast and accurate method for word sense disambiguation in neural word embeddings
A. Trask, P. Michalak, and J. Liu · 2015
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A comparison of deep learning based query expansion with pseudo-relevance feedback and mutual information
M. al Masri, C. Berrut, and J.-P. Chevallet · 2016
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Improving document ranking with dual word embeddings
E. Nalisnick, B. Mitra, N. Craswell, and R. Caruana · 2016
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