@inproceedings{marzi-etal-2012-evaluating,
title = "Evaluating Hebbian Self-Organizing Memories for Lexical Representation and Access",
author = "Marzi, Claudia and
Ferro, Marcello and
Caudai, Claudia and
Pirrelli, Vito",
editor = "Calzolari, Nicoletta and
Choukri, Khalid and
Declerck, Thierry and
Do{\u{g}}an, Mehmet U{\u{g}}ur and
Maegaard, Bente and
Mariani, Joseph and
Moreno, Asuncion and
Odijk, Jan and
Piperidis, Stelios",
booktitle = "Proceedings of the Eighth International Conference on Language Resources and Evaluation ({LREC}'12)",
month = may,
year = "2012",
address = "Istanbul, Turkey",
publisher = "European Language Resources Association (ELRA)",
url = "http://www.lrec-conf.org/proceedings/lrec2012/pdf/538_Paper.pdf",
pages = "886--893",
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.",
}
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%0 Conference Proceedings
%T Evaluating Hebbian Self-Organizing Memories for Lexical Representation and Access
%A Marzi, Claudia
%A Ferro, Marcello
%A Caudai, Claudia
%A Pirrelli, Vito
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Declerck, Thierry
%Y Doğan, Mehmet Uğur
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Moreno, Asuncion
%Y Odijk, Jan
%Y Piperidis, Stelios
%S Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC’12)
%D 2012
%8 May
%I European Language Resources Association (ELRA)
%C Istanbul, Turkey
%F marzi-etal-2012-evaluating
%X 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.
%U http://www.lrec-conf.org/proceedings/lrec2012/pdf/538_Paper.pdf
%P 886-893
Markdown (Informal)
[Evaluating Hebbian Self-Organizing Memories for Lexical Representation and Access](http://www.lrec-conf.org/proceedings/lrec2012/pdf/538_Paper.pdf) (Marzi et al., LREC 2012)
ACL