Distributional Models of Category Concepts Based on Names of Category Members

Autor/inn/en	Westera, Matthijs; Gupta, Abhijeet; Boleda, Gemma; Padó, Sebastian
Titel	Distributional Models of Category Concepts Based on Names of Category Members
Quelle	In: Cognitive Science, 45 (2021) 9, (34 Seiten) PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Westera, Matthijs)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1551-6709
DOI	10.1111/cogs.13029
Schlagwörter	Classification; Models; Nouns; Cognitive Processes; Evaluative Thinking; Prediction + Suchen Sie Ihr Suchwort? Classification system; Klassifikation; Klassifikationssystem; Analogiemodell; Cognitive process; Kognitiver Prozess; Vorhersage
Abstract	Cognitive scientists have long used distributional semantic representations of categories. The predominant approach uses distributional representations of category-denoting nouns, such as "city" for the category city. We propose a novel scheme that represents categories as prototypes over representations of names of its members, such as "Barcelona," "Mumbai," and "Wuhan" for the category city. This name-based representation empirically outperforms the noun-based representation on two experiments (modeling human judgments of category relatedness and predicting category membership) with particular improvements for ambiguous nouns. We discuss the model complexity of both classes of models and argue that the name-based model has superior explanatory potential with regard to concept acquisition. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01