arXiv Open Access 2018

A case for deep learning in semantics

Christopher Potts

Lihat Sumber

Abstrak

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.

Topik & Kata Kunci

cs.CL

Penulis (1)

Christopher Potts

Format Sitasi

APA MLA BibTeX

Potts, C. (2018). A case for deep learning in semantics. https://arxiv.org/abs/1809.03068

Akses Cepat

Lihat di Sumber

Informasi Jurnal

Tahun Terbit: 2018
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓