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dc.contributor.authorDiakidoy, Irene-Anna N.en
dc.contributor.authorKakas, Antonis C.en
dc.contributor.authorMichael, Loizosen
dc.contributor.authorMiller, R.en
dc.creatorDiakidoy, Irene-Anna N.en
dc.creatorKakas, Antonis C.en
dc.creatorMichael, Loizosen
dc.creatorMiller, R.en
dc.date.accessioned2019-11-13T10:39:28Z
dc.date.available2019-11-13T10:39:28Z
dc.date.issued2014
dc.identifier.isbn978-1-57735-657-8
dc.identifier.urihttp://gnosis.library.ucy.ac.cy/handle/7/53812
dc.description.abstractWe report on an ongoing research program to develop a formal framework for automated narrative text comprehension, bringing together know-how from research in Artificial Intelligence and the Psychology of Reading and Comprehension. It uses argumentation to capture appropriate solutions to the frame, ramification, and qualification problems, and their generalizations as required for text comprehension. In this first part of the study we concentrate on the central problem of integration of the explicit information from the text narrative with the reader's implicit commonsense world knowledge, and the associated tasks of elaboration and revision. Copyright © 2014, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.en
dc.publisherAAAI pressen
dc.source14th International Conference on the Principles of Knowledge Representation and Reasoning, KR 2014en
dc.source14th International Conference on the Principles of Knowledge Representation and Reasoning, KR 2014en
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84962074016&partnerID=40&md5=5573fb6a43036f39893893fe1eaf8742
dc.subjectArtificial intelligenceen
dc.subjectKnowledge representationen
dc.subjectExplicit informationen
dc.subjectCentral problemsen
dc.subjectFormal frameworken
dc.subjectResearch programsen
dc.subjectTechnology transferen
dc.subjectText comprehensionsen
dc.subjectWorld knowledgeen
dc.titleA psychology-inspired approach to automated narrative text comprehensionen
dc.typeinfo:eu-repo/semantics/conferenceObject
dc.description.startingpage610
dc.description.endingpage613
dc.author.faculty002 Σχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied Sciences
dc.author.departmentΤμήμα Πληροφορικής / Department of Computer Science
dc.type.uhtypeConference Objecten
dc.description.notesSiemens AG Osterreichde
dc.description.notes<p>Sponsors: Artificial Intelligence Journalen
dc.description.notesAssociation for Logic Programming (ALP)en
dc.description.noteset al.en
dc.description.notesEuropean Coordinating Committee for Artificial Intelligence (ECCAI)en
dc.description.notesPrinciples of Knowledge Representation and Reasoning, Incorporated (KR Inc.)en
dc.description.notesConference code: 116755en
dc.description.notesCited By :1</p>en
dc.contributor.orcidKakas, Antonis C. [0000-0001-6773-3944]
dc.contributor.orcidDiakidoy, Irene-Anna N. [0000-0003-3650-8108]
dc.gnosis.orcid0000-0001-6773-3944
dc.gnosis.orcid0000-0003-3650-8108


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