A case for deep learning in semantics: Response to Pater

By Christopher Potts. 2019

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: Representation & Self-Supervised Learning, Computational Linguistics & Semantics, Linguistics