This is a preprint
Abstract

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.

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semantics

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lexical semantics

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machine learning

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connectionism

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deep learning

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compositionality

pdf

Additional Information

ISSN
1535-0665
Print ISSN
0097-8507
Launched on MUSE
2019-02-20
Open Access
No
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