A case for deep learning in semantics: Response to Pater
LANGUAGE（2019）
摘要
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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关键词
semantics,lexical semantics,machine learning,connectionism,deep learning,compositionality
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