This work proposes a novel distributed scheme based on a part-of-speech tagged lexicographic encoding to represent the context in which a particular word occurs in an evolutionary approach for word sense disambiguation. Tagged dataset for every sense of a polysemous word are considered as inputs to supervised classifiers, Artificial Neural Networks (ANNs), which are evolved by a joint optimization of their structures and weights, together with a similarity based recombination operator. The viability of the approach has been demonstrated through experiments carried out on a representative set of polysemous words. Comparison with the best entries of the Semeval-2007 competition has shown that the proposed approach is competitive with state-of-the-art WSD approaches.
A part-of-speech lexicographic encoding for an evolutionary word sense disambiguation approach / A. Azzini, M. Dragoni, A. Tettamanzi - In: Applications of evolutionary computation : EvoApplications 2011: EvoCOMNET, EvoFIN, EvoHOT, EvoMUSART, EvoSTIM, and EvoTRANSLOG : Torino, Italy, april 2011 : proceedings. Part 1. / [a cura di] C. Di Chio ... [et al.]. - Berlin : Springer, 2011. - ISBN 9783642205248. - pp. 244-253 (( convegno EvoApplications tenutosi a Torino nel 2011.
|Titolo:||A part-of-speech lexicographic encoding for an evolutionary word sense disambiguation approach|
AZZINI, ANTONIA (Primo)
DRAGONI, MAURO (Secondo)
TETTAMANZI, ANDREA GIOVANNI BATTISTA (Ultimo)
|Parole Chiave:||Evolutionary algorithms ; Neural networks ; Computational linguistics ; Word-sense disambiguation.|
|Settore Scientifico Disciplinare:||Settore INF/01 - Informatica|
|Data di pubblicazione:||2011|
|Digital Object Identifier (DOI):||http://dx.doi.org/10.1007/978-3-642-20525-5_25|
|Tipologia:||Book Part (author)|
|Appare nelle tipologie:||03 - Contributo in volume|