A large amount of literature on conceptual abstraction has investigated the differences in contextual distribution (namely “contextual variability”) between abstract and concrete concept words (“joy” vs. “apple”), showing that abstract words tend to be used in a wide variety of linguistic contexts. In contrast, concrete words usually occur in a few very similar contexts. However, these studies do not take into account another process that affects both abstract and concrete concepts alike: “specificity, that is, how inclusive a category is (“ragdoll” vs. “mammal”). We argue that the more a word is specific, the more its usage is tied to specific domains, and therefore its contextual variability is more limited compared to generic words. In this work, we used distributional semantic models to model the interplay between contextual variability measures and i) concreteness, ii) specificity, and iii) the interaction between the two variables. Distributional analyses on 662 Italian nouns showed that contextual variability is mainly explainable in terms of specificity or by the interaction between concreteness and specificity. In particular, the more specific a word is, the more its contexts will be close to it. In contrast, generic words have less related contexts, regardless of whether they are concrete or abstract.

Rambelli, G., Marcella Bolognesi, M., Contextual Variability depends on Categorical Specificity rather than Conceptual Concreteness: A Distributional Investigation on Italian data, Comunicazione, in Proceedings of the 15th International Conference on Computational Semantics, (Nancy (France), 20-23 June 2023), Association of Computational Linguistics, Stroudsburg, PA 2023: 16-27 [https://hdl.handle.net/10807/339560]

Contextual Variability depends on Categorical Specificity rather than Conceptual Concreteness: A Distributional Investigation on Italian data

Rambelli, Giulia;
2023

Abstract

A large amount of literature on conceptual abstraction has investigated the differences in contextual distribution (namely “contextual variability”) between abstract and concrete concept words (“joy” vs. “apple”), showing that abstract words tend to be used in a wide variety of linguistic contexts. In contrast, concrete words usually occur in a few very similar contexts. However, these studies do not take into account another process that affects both abstract and concrete concepts alike: “specificity, that is, how inclusive a category is (“ragdoll” vs. “mammal”). We argue that the more a word is specific, the more its usage is tied to specific domains, and therefore its contextual variability is more limited compared to generic words. In this work, we used distributional semantic models to model the interplay between contextual variability measures and i) concreteness, ii) specificity, and iii) the interaction between the two variables. Distributional analyses on 662 Italian nouns showed that contextual variability is mainly explainable in terms of specificity or by the interaction between concreteness and specificity. In particular, the more specific a word is, the more its contexts will be close to it. In contrast, generic words have less related contexts, regardless of whether they are concrete or abstract.
2023
Inglese
Proceedings of the 15th International Conference on Computational Semantics
International Conference on Computational Semantics
Nancy (France)
Comunicazione
20-giu-2023
23-giu-2023
978-1-959429-74-6
Association of Computational Linguistics
Rambelli, G., Marcella Bolognesi, M., Contextual Variability depends on Categorical Specificity rather than Conceptual Concreteness: A Distributional Investigation on Italian data, Comunicazione, in Proceedings of the 15th International Conference on Computational Semantics, (Nancy (France), 20-23 June 2023), Association of Computational Linguistics, Stroudsburg, PA 2023: 16-27 [https://hdl.handle.net/10807/339560]
File in questo prodotto:
File Dimensione Formato  
2023.iwcs-1.2.pdf

accesso aperto

Tipologia file ?: Versione Editoriale (PDF)
Licenza: Creative commons
Dimensione 756.87 kB
Formato Adobe PDF
756.87 kB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10807/339560
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact