Investigating lexical access, representation and processing involves dealing with conceptual abstractness: abstract concepts are known to be more quickly and easily delivered in human communications than abstract meanings (Binder et al., 2005). Although these aspects have long been left unexplored, they are relevant: abstract terms are widespread in ordinary language, as they contribute to the realisation of various sorts of figurative language (metaphors, metonymies, hyperboles, etc.). Abstractness is therefore an issue for computational linguistics, as well. In this paper we illustrate how to characterise verbs with abstractness information. We provide an experimental evaluation of the presented approach on the largest existing corpus annotated with abstraction scores: our results exhibit good correlation with human ratings, and point out some open issues that will be addressed in future work.

Conceptual Abstractness: from Nouns to Verbs

COLLA, DAVIDE;Enrico Mensa;Aureliano Porporato;Daniele P. Radicioni
2018

Abstract

Investigating lexical access, representation and processing involves dealing with conceptual abstractness: abstract concepts are known to be more quickly and easily delivered in human communications than abstract meanings (Binder et al., 2005). Although these aspects have long been left unexplored, they are relevant: abstract terms are widespread in ordinary language, as they contribute to the realisation of various sorts of figurative language (metaphors, metonymies, hyperboles, etc.). Abstractness is therefore an issue for computational linguistics, as well. In this paper we illustrate how to characterise verbs with abstractness information. We provide an experimental evaluation of the presented approach on the largest existing corpus annotated with abstraction scores: our results exhibit good correlation with human ratings, and point out some open issues that will be addressed in future work.
5th Italian Conference on Computational Linguistics, CLiC-it 2018
Turin, ITALY
10-12 dicembre 2018
5th Italian Conference on Computational Linguistics, CLiC-it 2018
CEUR Workshop Proceedings
70
75
http://ceur-ws.org/Vol-2253/
Davide Colla, Enrico Mensa, Aureliano Porporato, Daniele P. Radicioni
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/2318/1685416
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