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Despite the recent popularity of word embedding methods, there is only a small body of work exploring the limitations of these representations.
Ridge regression: Biased estimation for nonorthogonal problems
Arthur E Hoerl and Robert W Kennard. 1970 · 1970
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Brown corpus manual
W Nelson Francis and Henry Kucera. 1979 · 1979
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Building a large annotated corpus of English: The Penn treebank
Mitchell P Marcus, Mary Ann Marcinkiewicz, and Beatrice Santorini. 1993 · 1993
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WordNet: A lexical database for English
George A Miller. 1995 · 1995
Earlier work this paper cites.
The CMU pronouncing dictionary http://www.speech.cs.cmu.edu/cgibin/cmudict
Robert L Weide. 1998 · 1998
Earlier work this paper cites.
Placing search in context: The concept revisited
Lev Finkelstein, Evgeniy Gabrilovich, Yossi Matias, Ehud Rivlin, Zach Solan, Gadi Wolfman, and Eytan Ruppin. 2001 · 2001
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Europarl: A parallel corpus for statistical machine translation
Philipp Koehn. 2005 · 2005
Earlier work this paper cites.
Extracting semantic representations from word co-occurrence statistics: A computational study
John A Bullinaria and Joseph P Levy. 2007 · 2007
Earlier work this paper cites.
Semeval-2007 task 10: English lexical substitution task
Diana McCarthy and Roberto Navigli. 2007 · 2007
Earlier work this paper cites.
The New York Times annotated corpus
Evan Sandhaus. 2008 · 2008
Earlier work this paper cites.
Curriculum learning
Yoshua Bengio, Jérôme Louradour, Ronan Collobert, and Jason Weston. 2009 · 2009
Cited alongside, same era.
Recurrent neural network based language model
Tomas Mikolov, Martin Karafiát, Lukas Burget, Jan Cernockỳ, and Sanjeev Khudanpur. 2010 · 2010
Cited alongside, same era.
A word at a time: Computing word relatedness using temporal semantic analysis
Kira Radinsky, Eugene Agichtein, Evgeniy Gabrilovich, and Shaul Markovitch. 2011 · 2011
Cited alongside, same era.
Large-scale learning of word relatedness with constraints
Guy Halawi, Gideon Dror, Evgeniy Gabrilovich, and Yehuda Koren. 2012 · 2012
Cited alongside, same era.
GloVe: Global vectors for word representation
Jeffrey Pennington, Richard Socher, and Christopher Manning. 2014 · 2014
Cited alongside, same era.
Retrofitting word vectors to semantic lexicons
Manaal Faruqui, Jesse Dodge, Sujay K Jauhar, Chris Dyer, Eduard Hovy, and Noah A Smith. 2015 · 2015
Bad company-Neighborhoods in neural embedding spaces considered harmful
Johannes Hellrich and Udo Hahn. 2016 · 2016
Later among the works it cites.
Learning the curriculum with Bayesian optimization for task-specific word representation learning
Yulia Tsvetkov, Manaal Faruqui, Wang Ling, Brian MacWhinney, and Chris Dyer. 2016 · 2016
Later among the works it cites.
Demographic-aware word associations
Aparna Garimella, Carmen Banea, and Rada Mihalcea. 2017 · 2017
Later among the works it cites.
The strange geometry of skip-gram with negative sampling
David Mimno and Laure Thompson. 2017 · 2017
Later among the works it cites.
DyNet: The dynamic neural network toolkit
Graham Neubig, Chris Dyer, Yoav Goldberg, Austin Matthews, Waleed Ammar, Antonios Anastasopoulos, Miguel Ballesteros, David Chiang, Daniel Clothiaux, Trevor Cohn, Kevin Duh, Manaal Faruqui, Cynthia Gan, Dan Garrette, Yangfeng Ji, Lingpeng Kong, Adhiguna Kuncoro, Gaurav Kumar, Chaitanya Malaviya, Paul Michel, Yusuke Oda, Matthew Richardson, Naomi Saphra, Swabha Swayamdipta, and Pengcheng Yin. 2017 · 2017
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Cited alongside, same era.
Short text similarity with word embeddings
Tom Kenter and Maarten De Rijke. 2015 · 2015
Cited alongside, same era.
Improving distributional similarity with lessons learned from word embeddings
Omer Levy, Yoav Goldberg, and Ido Dagan. 2015 · 2015
Cited alongside, same era.
Lexical comparison between Wikipedia and Twitter corpora by using word embeddings
Luchen Tan, Haotian Zhang, Charles LA Clarke, and Mark D Smucker. 2015 · 2015
Cited alongside, same era.
Exploiting similarities among languages for machine translation
Tomas Mikolov, Quoc V Le, and Ilya Sutskever. 2013a
Cited in the paper.
Distributed representations of words and phrases and their compositionality
Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg S Corrado, and Jeff Dean. 2013b
Cited in the paper.
Later among the works it cites.
Second-order word embeddings from nearest neighbor topological features
Denis Newman-Griffis and Eric Fosler-Lussier. 2017 · 2017
Later among the works it cites.
Evaluating the stability of embedding-based word similarities
Maria Antoniak and David Mimno. 2018 · 2018
Closest in time.
Word embeddings quantify 100 years of gender and ethnic stereotypes
Nikhil Garg, Londa Schiebinger, Dan Jurafsky, and James Zou. 2018 · 2018
Closest in time.
A universal part-of-speech tagset
Slav Petrov, Dipanjan Das, and Ryan McDonald. 2012 · 2096
Closest in time.