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An experimental approach to studying the properties of word embeddings is proposed.
Work on statistical methods for word sense disambiguation
William A Gale, Kenneth W Church, and David Yarowsky · 1992
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A solution to plato’s problem: The latent semantic analysis theory of acquisition, induction, and representation of knowledge
Thomas K Landauer and Susan T. Dutnais · 1997
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Natural language processing (almost) from scratch
Ronan Collobert, Jason Weston, Léon Bottou, Michael Karlen, Koray Kavukcuoglu, and Pavel Kuksa · 2011
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(Linear) Maps of the Impossible: Capturing Semantic Anomalies in Distributional Space
Eva M. Vecchi, Marco Baroni, and Roberto Zamparelli · 2011
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Efficient estimation of word representations in vector space
Tomas Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean · 2013
Cited alongside, same era.
Distributed representations of words and phrases and their compositionality
Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg Corrado, and Jeffrey Dean · 2013
Cited alongside, same era.
Don’t count, predict! a systematic comparison of context-counting vs. context-predicting semantic vectors
Marco Baroni, Georgiana Dinu, and Germán Kruszewski · 2014
Cited alongside, same era.
Glove: Global vectors for word representation
Jeffrey Pennington, Richard Socher, and Christopher D Manning · 2014
Cited alongside, same era.
Random walks on context spaces: Towards an explanation of the mysteries of semantic word embeddings
Sanjeev Arora, Yuanzhi Li, Yingyu Liang, Tengyu Ma, and Andrej Risteski · 2015
Closest in time.
Measuring word significance using distributed representations of words, 2015
Adriaan M. J. Schakel and Benjamin J. Wilson · 2015
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Evaluation methods for unsupervised word embeddings
Tobias Schnabel, Igor Labutov, David Mimno, and Thorsten Joachims · 2015
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