A case for deep learning in semantics

Abstract

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.

Commentary on Pater 2018, 'Generative linguistics and neural networks at 60: foundation, friction, and fusion', to appear in Language