Skillex: A graph-based lexical score for measuring the semantic efficiency of used verbs by human subjects describing actions

Bruno GAUME, Karine DUVIGNAU, Emmanuel NAVARRO, Yann DESALLE, Hin Tat CHEUNG, S. K. HSIEH, Pierre MAGISTRY, Laurent PRÉVOT

Research output: Contribution to journalArticles

8 Citations (Scopus)

Abstract

Dictionaries are sociocultural objects that can be used as underlying structures of cognitive science models. We first show that the lexical networks constructed from dictionaries, despite a surface disagreement at links level, share a common topological structure. We assume that this deep structure reflects the semantic organisation of the lexicon shared by the members of a linguistic community. We propose a model based on the exploration of this specific struc- ture to analyse and compare the semantic efficiency of [Children/Adults] productions in action labelling tasks. We define a generic score of semantic efficiency, S KILLEX. Assigned to partic- ipants of the A PPROX protocol, this score enables us to accurately classify them into Children and Adults categories. Copyright © 2016 HAL.
Original languageEnglish
Pages (from-to)97-121
JournalTAL Traitement Automatique des Langues
Volume55
Issue number3
Publication statusPublished - 2016

Citation

Gaume, B., Duvignau, K., Navarro, E., Desalle, Y., Cheung, H., Hsieh, S., Magistry, P., & Prévot, L. (2016). Skillex: a graph-based lexical score for measuring the semantic effi ciency of used verbs by human subjects describing actions. Traitement Automatique des Langues, 55(3), 97-121.

Keywords

  • Dictionaries
  • Networks
  • Lexicon
  • Approx
  • Skillex

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