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Tell me why: Computational explanation of conceptual similarity judgment

Contributo in Atti di convegno
Data di Pubblicazione:
2018
Abstract:
In this paper we introduce a system for the computation of explanations that accompany scores in the conceptual similarity task. In this setting the problem is, given a pair of concepts, to provide a score that expresses in how far the two concepts are similar. In order to explain how explanations are automatically built, we illustrate some basic features of COVER, the lexical resource that underlies our approach, and the main traits of the MeRaLi system, that computes conceptual similarity and explanations, all in one. To assess the computed explanations, we have designed a human experimentation, that provided interesting and encouraging results, which we report and discuss in depth.
Tipologia CRIS:
04A-Conference paper in volume
Keywords:
Explanation, Lexical semantics, Natural language semantics, Conceptual similarity, Lexical resources
Elenco autori:
Davide Colla, Enrico Mensa, Daniele P. Radicioni, Antonio Lieto
Autori di Ateneo:
MENSA Enrico
RADICIONI Daniele Paolo
Link alla scheda completa:
https://iris.unito.it/handle/2318/1685422
Link al Full Text:
https://iris.unito.it/retrieve/handle/2318/1685422/462658/colla2018tell.pdf
Titolo del libro:
Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations
Pubblicato in:
COMMUNICATIONS IN COMPUTER AND INFORMATION SCIENCE
Journal
COMMUNICATIONS IN COMPUTER AND INFORMATION SCIENCE
Series
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URL

https://link.springer.com/chapter/10.1007/978-3-319-91473-2_7
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