Cognitively motivated distributional representations of meaning

Elias Iosif, Spiros Georgiladakis, Alexandros Potamianos

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Although meaning is at the core of human cognition, state-of-the-art distributional semantic models (DSMs) are often agnostic to the findings in the area of semantic cognition. In this work, we present a novel type of DSMs motivated by the dual-processing cognitive perspective that is triggered by lexico-semantic activations in the short-term human memory. The proposed model is shown to perform better than state-of-the-art models for computing semantic similarity between words. The fusion of different types of DSMs is also investigated achieving results that are comparable or better than the state-of-the-art. The used corpora along with a set of tools, as well as large repositories of vectorial word representations are made publicly available for four languages (English, German, Italian, and Greek).

Original languageEnglish
Title of host publicationProceedings of the 10th International Conference on Language Resources and Evaluation, LREC 2016
EditorsNicoletta Calzolari, Khalid Choukri, Helene Mazo, Asuncion Moreno, Thierry Declerck, Sara Goggi, Marko Grobelnik, Jan Odijk, Stelios Piperidis, Bente Maegaard, Joseph Mariani
PublisherEuropean Language Resources Association (ELRA)
Pages1226-1232
Number of pages7
ISBN (Electronic)9782951740891
Publication statusPublished - 2016
Externally publishedYes
Event10th International Conference on Language Resources and Evaluation, LREC 2016 - Portoroz, Slovenia
Duration: 23 May 201628 May 2016

Publication series

NameProceedings of the 10th International Conference on Language Resources and Evaluation, LREC 2016

Conference

Conference10th International Conference on Language Resources and Evaluation, LREC 2016
Country/TerritorySlovenia
CityPortoroz
Period23/05/1628/05/16

Keywords

  • Activation based cognitive models
  • Distributional semantic models
  • Multilinguality
  • Semantic similarity

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