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A case for deep learning in semantics

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arxiv 1809.03068 v1 pith:DUXGOHZY submitted 2018-09-10 cs.CL

Christopher Potts This is my paper · ORCID
classification cs.CL
keywords learningcasedeepsemanticsargumentsarticlebuildscommentary
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Pater's 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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  1. On the Compatibility of Generative AI and Generative Linguistics

    cs.CL 2024-11 conditional novelty 5.0 of 10

    Language models can reinforce Chomsky's generative linguistics through formal generative capacity, discovery procedures, and the Minimalist Program, and generative linguistics can guide LM evaluation.

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