A case for deep learning in semantics: Response to Pater

By Christopher Potts. 2019

6 citations recorded by the source corpus.

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.

Subfields: Artificial Intelligence, Experimental and Cognitive Psychology, Language and Linguistics, Computational Linguistics & Semantics, Linguistics