Inter-Sense: An Investigation of Sensory Blending in Fiction

Roxana Girju, Charlotte Lambert

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This study reports on the semantic organization of English sensory descriptors of the five basic senses of sight, hearing, touch, taste, and smell in a large corpus of over 8,000 fiction books. We introduce a large-scale text data-driven approach based on distributional-semantic word embeddings to identify and extract these descriptors as well as analyze their mixing interconnections in the resulting conceptual and sensory space. The findings are relevant for research on concept acquisition and representation, as well as for applications that can benefit from a better understanding of perceptual spaces of sensory experiences, in fiction, in particular, and in language in general.
Original languageEnglish (US)
Title of host publicationProceedings of the Workshops and Tutorials held at LDK 2021
Subtitle of host publicationCo-located with the 3rd Language, Data and Knowledge Conference (LDK 2021) Zaragoza, Spain, September 1-4, 2021
EditorsSara Carvalho, Renato Rocha Souza
Pages17-31
StatePublished - 2021
Event2021 Workshops and Tutorials - Language Data and Knowledge, LDK 2021 - Zaragoza, Spain
Duration: Sep 1 2021Sep 4 2021

Publication series

NameCEUR Workshop Proceedings
Volume3064
ISSN (Electronic)1613-0073

Conference

Conference2021 Workshops and Tutorials - Language Data and Knowledge, LDK 2021
Country/TerritorySpain
CityZaragoza
Period9/1/219/4/21

Keywords

  • Cross-modal perception
  • Empathy
  • Fiction
  • Language sensory spaces
  • Sensory blending
  • Text data-driven methods

ASJC Scopus subject areas

  • General Computer Science

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