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Distributional word representation methods exploit word co-occurrences to build compact vector encodings of words.
Distributional structure
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Semantic similarity in a taxonomy: An information-based measure and its application to problems of ambiguity in natural language
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Representing the meanings of object and action words: The featural and unitary semantic space hypothesis
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Semantic feature production norms for a large set of living and nonliving things
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A unified architecture for natural language processing: Deep neural networks with multitask learning
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A Study on Similarity and Relatedness Using Distributional and WordNet-based Approaches
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Integrating experiential and distributional data to learn semantic representations
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Categorical structure among shared features in networks of early-learned nouns
Thomas T Hills, Mounir Maouene, Josita Maouene, Adam Sheya, and Linda Smith. 2009 · 2009
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Word representations: a simple and general method for semi-supervised learning
Joseph Turian, Lev Ratinov, and Yoshua Bengio. 2010 · 2010
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From frequency to meaning: Vector space models of semantics
Peter D Turney and Patrick Pantel. 2010 · 2010
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Distributional Semantics in Technicolor
Elia Bruni, Gemma Boleda, Marco Baroni, and Nam-Khanh Tran. 2012 · 2012
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Distributed representations of words and phrases and their compositionality
Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg S Corrado, and Jeff Dean. 2013 · 2013
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Recursive deep models for semantic compositionality over a sentiment treebank
Retrofitting Word Vectors to Semantic Lexicons
Manaal Faruqui, Jesse Dodge, Sujay Kumar Jauhar, Chris Dyer, and Eduard Hovy. 2015 · 2015
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Building a shared world: mapping distributional to model-theoretic semantic spaces
Aurélie Herbelot and Eva Maria Vecchi. 2015 · 2015
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Combining language and vision with a multimodal skip-gram model
Angeliki Lazaridou, Nghia The Pham, and Marco Baroni. 2015 · 2015
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How Well Do Distributional Models Capture Different Types of Semantic Knowledge?
Dana Rubinstein, Effi Levi, Roy Schwartz, and Ari Rappoport. 2015 · 2015
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Vision and feature norms: Improving automatic feature norm learning through cross-modal maps
Luana Bulat, Douwe Kiela, and Stephen Clark. 2016 · 2016
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