People can refer to quantities in a visual scene by using either exact cardinals (e.g. one, two, three) or natural language quantifiers (e.g. few, most, all). In humans, these two processes underlie fairly different cognitive and neural mechanisms. Inspired by this evidence, the present study proposes two models for learning the objective meaning of cardinals and quantifiers from visual scenes containing multiple objects. We show that a model capitalizing on a ‘fuzzy’ measure of similarity is effective for learning quantifiers, whereas the learning of exact cardinals is better accomplished when information about number is provided.

Be Precise or Fuzzy: Learning the Meaning of Cardinals and Quantifiers from Vision / Pezzelle, Sandro; Marco, Marelli; Bernardi, Raffaella. - ELETTRONICO. - (2017), pp. 337-342. ((Intervento presentato al convegno EACL 2017 tenutosi a Valencia, Spain nel 3rd-7th April 2017.

Be Precise or Fuzzy: Learning the Meaning of Cardinals and Quantifiers from Vision

Pezzelle, Sandro;Bernardi, Raffaella
2017

Abstract

People can refer to quantities in a visual scene by using either exact cardinals (e.g. one, two, three) or natural language quantifiers (e.g. few, most, all). In humans, these two processes underlie fairly different cognitive and neural mechanisms. Inspired by this evidence, the present study proposes two models for learning the objective meaning of cardinals and quantifiers from visual scenes containing multiple objects. We show that a model capitalizing on a ‘fuzzy’ measure of similarity is effective for learning quantifiers, whereas the learning of exact cardinals is better accomplished when information about number is provided.
EACL 2017 15th Conference of the European Chapter of the Association for Computational Linguistics: Proceedings of Conference volume 2: short papers
Stroudsburg, PA
ACL
978-151083860-4
978-1-945626-35-7
Pezzelle, Sandro; Marco, Marelli; Bernardi, Raffaella
Be Precise or Fuzzy: Learning the Meaning of Cardinals and Quantifiers from Vision / Pezzelle, Sandro; Marco, Marelli; Bernardi, Raffaella. - ELETTRONICO. - (2017), pp. 337-342. ((Intervento presentato al convegno EACL 2017 tenutosi a Valencia, Spain nel 3rd-7th April 2017.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11572/178887
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