Evaluating Hebbian Self-Organizing Memories for Lexical Representation and Access (Contributo in atti di convegno)

Type
Label
  • Evaluating Hebbian Self-Organizing Memories for Lexical Representation and Access (Contributo in atti di convegno) (literal)
Anno
  • 2012-01-01T00:00:00+01:00 (literal)
Alternative label
  • Marzi, Claudia; Ferro, Marcello; Caudai, Claudia; Pirrelli, Vito (2012)
    Evaluating Hebbian Self-Organizing Memories for Lexical Representation and Access
    in 8th International Conference on Language Resources and Evaluation, Istanbul, Turkey, 23-25/05/2012
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Marzi, Claudia; Ferro, Marcello; Caudai, Claudia; Pirrelli, Vito (literal)
Pagina inizio
  • 886 (literal)
Pagina fine
  • 893 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
  • http://www.lrec-conf.org/proceedings/lrec2012/index.html (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali
  • 8 (literal)
Note
  • Google Scholar (literal)
  • PuMa (literal)
  • ISI Web of Science (WOS) (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • Institute for Computational Linguistics (literal)
Titolo
  • Evaluating Hebbian Self-Organizing Memories for Lexical Representation and Access (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
  • 978-2-9517408-7-7 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#curatoriVolume
  • Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Mehmet UÄYur DoÄY an and Bente Maegaard and Joseph Mariani and Jan Odijk and Stelios Piperidis (literal)
Abstract
  • The lexicon is the store of words in long-term memory. Any attempt at modelling lexical competence must take issues of string storage seriously. In the present contribution, we discuss a few desiderata that any biologically-inspired computational model of the mental lexicon has to meet, and detail a multi-task evaluation protocol for their assessment. The proposed protocol is applied to a novel computational architecture for lexical storage and acquisition, the \"Topological Temporal Hebbian SOMs\" (T2HSOMs), which are grids of topologically organised memory nodes with dedicated sensitivity to time-bound sequences of letters. These maps can provide a rigorous and testable conceptual framework within which to provide a comprehensive, multi-task protocol for testing the performance of Hebbian self-organising memories, and a comprehensive picture of the complex dynamics between lexical processing and the acquisition of morphological structure. (literal)
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