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2018 | OriginalPaper | Buchkapitel

Tell Me Why: Computational Explanation of Conceptual Similarity Judgments

verfasst von : Davide Colla, Enrico Mensa, Daniele P. Radicioni, Antonio Lieto

Erschienen in: Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations

Verlag: Springer International Publishing

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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.

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Vorheriges Kapitel Fuzzy Rule Learning for Material Classification from Imprecise Data

Nächstes Kapitel Multi-operator Decision Trees for Explainable Time-Series Classification

COVER is available for download at http://ls.di.unito.it.

InstanceOf, RelatedTo, IsA, AtLocation, dbpedia/genre, Synonym, DerivedFrom, Causes, UsedFor, MotivatedByGoal, HasSubevent, Antonym, CapableOf, Desires, CausesDesire, PartOf, HasProperty, HasPrerequisite, MadeOf, CompoundDerivedFrom, HasFirstSubevent, dbpedia/field, dbpedia/knownFor, dbpedia/influencedBy, dbpedia/influenced, DefinedAs, HasA, MemberOf, ReceivesAction, SimilarTo, dbpedia/influenced, SymbolOf, HasContext, NotDesires, ObstructedBy, HasLastSubevent, NotUsedFor, NotCapableOf, DesireOf, NotHasProperty, CreatedBy, Attribute, Entails, LocationOfAction, LocatedNear.

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Titel: Tell Me Why: Computational Explanation of Conceptual Similarity Judgments
verfasst von: Davide Colla
Enrico Mensa
Daniele P. Radicioni
Antonio Lieto
Verlag: Springer International Publishing
Buch: Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations
Print ISBN: 978-3-319-91472-5

Electronic ISBN: 978-3-319-91473-2

Copyright-Jahr: 2018
DOI: https://doi.org/10.1007/978-3-319-91473-2_7

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