English

A case for deep learning in semantics

Computation and Language 2018-09-11 v1

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.

Keywords

Cite

@article{arxiv.1809.03068,
  title  = {A case for deep learning in semantics},
  author = {Christopher Potts},
  journal= {arXiv preprint arXiv:1809.03068},
  year   = {2018}
}

Comments

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

R2 v1 2026-06-23T03:59:37.551Z