In this paper we propose a new approach to the generation of pseudowords, i.e., artificial words which model real polysemous words. Our approach simultaneously addresses the two important issues that hamper the generation of large pseudosense-annotated datasets: semantic awareness and coverage. We evaluate these pseudowords from three different perspectives showing that they can be used as reliable substitutes for their real counterparts.
Paving the Way to a Large-scale Pseudosense-annotated Dataset / Pilehvar, MOHAMMED TAHER; Navigli, Roberto. - STAMPA. - (2013), pp. 1100-1109. ( NAACL-HLT 2013 Atlanta, USA 10-12 June 2013).
Paving the Way to a Large-scale Pseudosense-annotated Dataset
PILEHVAR, MOHAMMED TAHER;NAVIGLI, ROBERTO
2013
Abstract
In this paper we propose a new approach to the generation of pseudowords, i.e., artificial words which model real polysemous words. Our approach simultaneously addresses the two important issues that hamper the generation of large pseudosense-annotated datasets: semantic awareness and coverage. We evaluate these pseudowords from three different perspectives showing that they can be used as reliable substitutes for their real counterparts.File allegati a questo prodotto
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