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A case for deep learning in semantics: Response to Pater

A case for deep learning in semantics: Response to Pater <p>Abstract:</p><p>Pater’s (2019) target article builds a persuasive case for establishing stronger ties between theoretical linguistics and connectionism (deep learning). This commentary extends his arguments to semantics, focusing in particular on issues of learning, compositionality, and lexical meaning.</p> http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Language Linguistic Society of America

A case for deep learning in semantics: Response to Pater

Language , Volume 95 (1) – Mar 15, 2019

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Publisher
Linguistic Society of America
Copyright
Copyright © Linguistic Society of America.
ISSN
1535-0665

Abstract

<p>Abstract:</p><p>Pater’s (2019) target article builds a persuasive case for establishing stronger ties between theoretical linguistics and connectionism (deep learning). This commentary extends his arguments to semantics, focusing in particular on issues of learning, compositionality, and lexical meaning.</p>

Journal

LanguageLinguistic Society of America

Published: Mar 15, 2019

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