Semantics and Deep Learning

Lasha Abzianidze*, Lisa Bylinina, Denis Paperno

*Corresponding author for this work

Research output: Book/ReportBookAcademic

Abstract

This Element covers the interaction of two research areas: linguistic semantics and deep learning. It focuses on three phenomena central to natural language interpretation: reasoning and inference; compositionality; extralinguistic grounding. Representation of these phenomena in recent neural models is discussed, along with the quality of these representations and ways to evaluate them (datasets, tests, measures). The Element closes with suggestions on possible deeper interactions between theoretical semantics and language technology based on deep learning models.
Original languageEnglish
PublisherCambridge University Press
Number of pages92
ISBN (Electronic)9781009542340
DOIs
Publication statusPublished - 31 Jan 2025

Publication series

NameElements in Semantics
PublisherCambridge University Press

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