Connectionist modeling of linguistic quantifiers

R.K. Rajapakse, A. Cangelosi, K.R. Coventry, S. Newstead, A. Bacon

Research output: Contribution to journalConference articlepeer-review

Abstract

This paper presents a new connectionist model of the grounding of linguistic quantifiers in perception that takes into consideration the contextual factors affecting the use of vague quantifiers. A preliminary validation of the model is presented through the training and testing of the model with experimental data on the rating of quantifiers. The model is able to perform the “psychological” counting of objects (fish) in visual scenes and to select the quantifier that best describes the scene, as in psychological experiments.
Original languageEnglish
Pages (from-to)679-684
Number of pages6
JournalLecture Notes in Computer Science
Volume3697
Publication statusPublished - 1 Jan 2005

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