High-risk learning: acquiring new word vectors from tiny data

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The WaCky wide web: a collection of very large linguistically processed web-crawled corpora

Marco Baroni, Silvia Bernardini, Adriano Ferraresi, and Eros Zanchetta. 2009 · 2009

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Computational learning theory and language acquisition

Alexander Clark and Shalom Lappin. 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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Natural language processing (almost) from scratch

Ronan Collobert, Jason Weston, Léon Bottou, Michael Karlen, Koray Kavukcuoglu, and Pavel Kuksa. 2011 · 2011

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One-shot learning of simple visual concepts

Brenden M Lake, Ruslan Salakhutdinov, Jason Gross, and Joshua B Tenenbaum. 2011 · 2011

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Vector space models of lexical meaning

Stephen Clark. 2012 · 2012

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Vector space models of word meaning and phrase meaning: a survey

Katrin Erk. 2012 · 2012

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Improving word representations via global context and multiple word prototypes

Eric H Huang, Richard Socher, Christopher D Manning, and Andrew Y Ng. 2012 · 2012

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Compositional-ly Derived Representations of Morphologically Complex Words in Distributional Semantics

Angeliki Lazaridou, Marco Marelli, Roberto Zamparelli, and Marco Baroni. 2013 · 2013

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Better Word Representations with Recursive Neural Networks for Morphology

Thang Luong, Richard Socher, and Christopher D. Manning. 2013 · 2013

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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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Obtaining a Better Understanding of Distributional Models of German Derivational Morphology

Max Kisselew, Sebastian Padó, Alexis Palmer, and Jan Šnajder. 2015 · 2015

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Building machines that learn and think like people

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Brenden M. Lake, Tomer D. Ullman, Joshua B. Tenenbaum, and Samuel J. Gershman. 2016 · 2016

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Predictability of distributional semantics in derivational word formation

Sebastian Padó, Aurélie Herbelot, Max Kisselew, and Jan Šnajder. 2016 · 2016

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Training an adaptive dialogue policy for interactive learning of visually grounded word meanings

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Yanchao Yu, Arash Eshghi, and Oliver Lemon. 2016 · 2016

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Multimodal word meaning induction from minimal exposure to natural text

Angeliki Lazaridou, Marco Marelli, and Marco Baroni. 2017 · 2017