The main goal of this paper is to describe a general approach to the problem of understanding linguis- tic phenomena, as they appear in lexical semantics, through the analysis of large scale resources, while exploiting these results to improve the quality of the resources themselves. The main contributions are: the approach itself, a formal quantitative mea- sure of language diversity; a set of formal quanti- tative measures of resource incompleteness and a large scale resource, called the Universal Knowl- edge Core (UKC) built following the methodology proposed. As a concrete example of an application, we provide an algorithm for distinguishing poly- semes from homonyms, as stored in the UKC.

Understanding and Exploiting Language Diversity / Giunchiglia, Fausto; Batsuren, Khuyagbaatar; Bella, Gabor. - In: IJCAI. - ISSN 1045-0823. - (2017), pp. 4009-4017. (Intervento presentato al convegno IJCAI 2017 tenutosi a Melbourne, Australia nel 19th-25th August 2017).

Understanding and Exploiting Language Diversity

Giunchiglia, Fausto
Primo
;
Batsuren, Khuyagbaatar
Secondo
;
Bella, Gabor
Ultimo
2017-01-01

Abstract

The main goal of this paper is to describe a general approach to the problem of understanding linguis- tic phenomena, as they appear in lexical semantics, through the analysis of large scale resources, while exploiting these results to improve the quality of the resources themselves. The main contributions are: the approach itself, a formal quantitative mea- sure of language diversity; a set of formal quanti- tative measures of resource incompleteness and a large scale resource, called the Universal Knowl- edge Core (UKC) built following the methodology proposed. As a concrete example of an application, we provide an algorithm for distinguishing poly- semes from homonyms, as stored in the UKC.
2017
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence
s.l.
IJCAI
978-0-9992411-0-3
Giunchiglia, Fausto; Batsuren, Khuyagbaatar; Bella, Gabor
Understanding and Exploiting Language Diversity / Giunchiglia, Fausto; Batsuren, Khuyagbaatar; Bella, Gabor. - In: IJCAI. - ISSN 1045-0823. - (2017), pp. 4009-4017. (Intervento presentato al convegno IJCAI 2017 tenutosi a Melbourne, Australia nel 19th-25th August 2017).
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/176893
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