A case for deep learning in semantics

Response to Pater

Datos Bibliográficos

ID11111863
AutoresChristopher Potts (0000-0002-7978-6055, autor de correspondencia)
Año2019
Volumen95
Número1
Páginase115-e124
Fecha de publicación2019-01-01
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaLanguage (JOURNAL)
Identificadores de la revistaISSN: 0097-8507 • E-ISSN: 1535-0665
EditorialProject MUSE (PUBLISHER • US)
DOI10.1353/lan.2019.0019
OpenAlexW2915765757
IdiomaEN
Citas recibidas1
Referencias citadas14

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

Artificial neural network · Cognition · Cognitive linguistics · Cognitive science · Connectionism · Construction Grammar · Epistemology · Lexical item · Lexical Semantics · Linguistics · Meaning (existential) · Natural language processing · Principle of compositionality · Programming language · Semantics (computer science) · Artificial Intelligence · Computer Science · Language, Metaphor, and Cognition · Natural Language Processing Techniques · Philosophy · Psychology · Syntax, Semantics, Linguistic Variation