About: Toward Forgetting-Sensitive Referring Expression Generationfor Integrated Robot Architectures

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

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type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Toward Forgetting-Sensitive Referring Expression Generationfor Integrated Robot Architectures
Creator	Culpepper, Will Johnson, Torin Larson, Kellyn Williams, Tom
source	ArXiv
abstract	To engage in human-like dialogue, robots require the ability to describe the objects, locations, and people in their environment, a capability known as%22Referring Expression Generation.%22As speakers repeatedly refer to similar objects, they tend to re-use properties from previous descriptions, in part to help the listener, and in part due to cognitive availability of those properties in working memory (WM). Because different theories of working memory%22forgetting%22necessarily lead to differences in cognitive availability, we hypothesize that they will similarly result in generation of different referring expressions. To design effective intelligent agents, it is thus necessary to determine how different models of forgetting may be differentially effective at producing natural human-like referring expressions. In this work, we computationalize two candidate models of working memory forgetting within a robot cognitive architecture, and demonstrate how they lead to cognitive availability-based differences in generated referring expressions.
has issue date	2020-07-16(xsd:dateTime)
has license	arxiv
sha1sum (hex)	7df1c5d8c219f98c6081a8cd33f1739be349678b
resource representing a document's title	Toward Forgetting-Sensitive Referring Expression Generationfor Integrated Robot Architectures
resource representing a document's body	covid:7df1c5d8c219f98c6081a8cd33f1739be349678b#body_text
is schema:about of	named entity 'locations' named entity 'availability' named entity 'lead' named entity 'Integrated' named entity 'MAY BE' »more»

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