Hypothesis Testing based Intrinsic Evaluation of Word Embeddings

Class-based n-gram models of natural language

Peter F. Brown, Peter V. deSouza, Robert L. Mercer, Vincent J. Della Pietra, and Jenifer C. Lai. 1992 · 1992

Earlier work this paper cites.

A neural probabilistic language model

Yoshua Bengio, Réjean Ducharme, Pascal Vincent, and Christian Janvin. 2003 · 2003

Earlier work this paper cites.

An exact distribution-free test comparing two multivariate distributions based on adjacency

Paul R. Rosenbaum. 2005 · 2005

Earlier work this paper cites.

An improved model of semantic similarity based on lexical co-occurence

Douglas L. T. Rohde, Laura M. Gonnerman, and David C. Plaut. 2006 · 2006

Earlier work this paper cites.

Sensitivity analysis for the cross-match test, with applications in genomics

Ruth Heller, Shane T. Jensen, Paul R. Rosenbaum, and Dylan S. Small. 2010 · 2010

Earlier work this paper cites.

A kernel two-sample test

Arthur Gretton, Karsten M. Borgwardt, Malte J. Rasch, Bernhard Schölkopf, and Alexander Smola. 2012 · 2012

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Original

Ashish Vaswani, Yinggong Zhao, Victoria Fossum, and David Chiang. 2013 · 2013

Cited alongside, same era.

Glove: Global vectors for word representation

Jeffrey Pennington, Richard Socher, and Christopher D Manning. 2014 · 2014

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Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg S Corrado, and Jeff Dean. 2013b

Cited in the paper.

Cross-lingual bridges with models of lexical borrowing

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Later among the works it cites.

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Yulia Tsvetkov, Manaal Faruqui, and Chris Dyer. 2016 · 2016

Later among the works it cites.