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Word embeddings, which represent a word as a point in a vector space, have become ubiquitous to several NLP tasks.
A bayesian analysis of some nonparametric problems
Thomas S Ferguson. 1973 · 1973
Earlier work this paper cites.
Comparing partitions
Lawrence Hubert and Phipps Arabie. 1985 · 1985
Earlier work this paper cites.
Word sense disambiguation using a second language monolingual corpus
Ido Dagan and Alon Itai. 1994 · 1994
Earlier work this paper cites.
A constructive definition of dirichlet priors
Jayaram Sethuraman. 1994 · 1994
Earlier work this paper cites.
Wordnet: a lexical database for english
George A Miller. 1995 · 1995
Earlier work this paper cites.
Unsupervised word sense disambiguation rivaling supervised methods
David Yarowsky. 1995 · 1995
Earlier work this paper cites.
I don’t believe in word senses
Adam Kilgarriff. 1997 · 1997
Earlier work this paper cites.
The berkeley framenet project
Collin F Baker, Charles J Fillmore, and John B Lowe. 1998 · 1998
Earlier work this paper cites.
Distinguishing systems and distinguishing senses: New evaluation methods for word sense disambiguation
Philip Resnik and David Yarowsky. 1999 · 1999
Earlier work this paper cites.
An unsupervised method for word sense tagging using parallel corpora
Mona Diab and Philip Resnik. 2002 · 2002
Earlier work this paper cites.
Exploiting parallel texts for word sense disambiguation: An empirical study
Hwee Tou Ng, Bin Wang, and Yee Seng Chan. 2003 · 2003
Earlier work this paper cites.
Europarl: A parallel corpus for statistical machine translation
Philipp Koehn. 2005 · 2005
Earlier work this paper cites.
A conditional random field word segmenter for sighan bakeoff 2005
Huihsin Tseng, Pichuan Chang, Galen Andrew, Daniel Jurafsky, and Christopher Manning. 2005 · 2005
Earlier work this paper cites.
Similarity of semantic relations
Peter D. Turney. 2006 · 2006
Earlier work this paper cites.
Word sense disambiguation: A survey
Roberto Navigli. 2009 · 2009
Earlier work this paper cites.
MultiUN: A multilingual corpus from united nation documents
Andreas Eisele and Yu Chen. 2010 · 2010
Cited alongside, same era.
Multi-prototype vector-space models of word meaning
Joseph Reisinger and Raymond J. Mooney. 2010 · 2010
Cited alongside, same era.
Word representations: a simple and general method for semi-supervised learning
Joseph Turian, Lev Ratinov, and Yoshua Bengio. 2010 · 2010
Cited alongside, same era.
Findings of the 2011 workshop on statistical machine translation
Chris Callison-Burch, Philipp Koehn, Christof Monz, and Omar F Zaidan. 2011 · 2011
Cited alongside, same era.
Unsupervised translation sense clustering
Mohit Bansal, John DeNero, and Dekang Lin. 2012 · 2012
Cited alongside, same era.
Improving word representations via global context and multiple word prototypes
Eric H Huang, Richard Socher, Christopher D Manning, and Andrew Y Ng. 2012 · 2012
Learning word representation considering proximity and ambiguity
Lin Qiu, Yong Cao, Zaiqing Nie, Yong Yu, and Yong Rui. 2014 · 2014
Later among the works it cites.
Trans-gram, fast cross-lingual word-embeddings
Jocelyn Coulmance, Jean-Marc Marty, Guillaume Wenzek, and Amine Benhalloum. 2015 · 2015
Later among the works it cites.
Retrofitting word vectors to semantic lexicons
Manaal Faruqui, Jesse Dodge, Sujay K. Jauhar, Chris Dyer, Eduard Hovy, and Noah A. Smith. 2015 · 2015
Later among the works it cites.
Ontologically grounded multi-sense representation learning for semantic vector space models
Sujay Kumar Jauhar, Chris Dyer, and Eduard Hovy. 2015 · 2015
Later among the works it cites.
Learning to represent words in context with multilingual supervision
Kazuya Kawakami and Chris Dyer. 2015 · 2015
Later among the works it cites.
Do multi-sense embeddings improve natural language understanding?
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A simple, fast, and effective reparameterization of ibm model 2
Chris Dyer, Victor Chahuneau, and Noah A Smith. 2013 · 2013
Cited alongside, same era.
Stochastic variational inference
Matthew D Hoffman, David M Blei, Chong Wang, and John William Paisley. 2013 · 2013
Cited alongside, same era.
Linguistic regularities in continuous space word representations
Tomas Mikolov, Wen-tau Yih, and Geoffrey Zweig. 2013 · 2013
Cited alongside, same era.
Mohammad Nasiruddin. 2013 · 2013
Cited alongside, same era.
Tailoring continuous word representations for dependency parsing
Mohit Bansal, Kevin Gimpel, and Karen Livescu. 2014 · 2014
Cited alongside, same era.
Improving vector space word representations using multilingual correlation
Manaal Faruqui and Chris Dyer. 2014 · 2014
Cited alongside, same era.
Jiwei Li and Dan Jurafsky. 2015 · 2015
Later among the works it cites.
Bilingual word representations with monolingual quality in mind
Thang Luong, Hieu Pham, and Christopher D. Manning. 2015 · 2015
Later among the works it cites.
Sense-aaware semantic analysis: A multi-prototype word representation model using wikipedia
Zhaohui Wu and C Lee Giles. 2015 · 2015
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Breaking sticks and ambiguities with adaptive skip-gram
Sergey Bartunov, Dmitry Kondrashkin, Anton Osokin, and Dmitry Vetrov. 2016 · 2016
Later among the works it cites.
Retrofitting sense-specific word vectors using parallel text
Allyson Ettinger, Philip Resnik, and Marine Carpuat. 2016 · 2016
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Problems with evaluation of word embeddings using word similarity tasks
Manaal Faruqui, Yulia Tsvetkov, Pushpendre Rastogi, and Chris Dyer. 2016 · 2016
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A representation learning framework for multi-source transfer parsing
Jiang Guo, Wanxiang Che, David Yarowsky, Haifeng Wang, and Ting Liu. 2016 · 2016
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Cross-lingual models of word embeddings: An empirical comparison
Shyam Upadhyay, Manaal Faruqui, Chris Dyer, and Dan Roth. 2016 · 2016
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Bilingual learning of multi-sense embeddings with discrete autoencoders
Simon Šuster, Ivan Titov, and Gertjan van Noord. 2016 · 2016
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