dc.contributor.author | Diakidoy, Irene-Anna N. | en |
dc.contributor.author | Kakas, Antonis C. | en |
dc.contributor.author | Michael, Loizos | en |
dc.contributor.author | Miller, R. | en |
dc.creator | Diakidoy, Irene-Anna N. | en |
dc.creator | Kakas, Antonis C. | en |
dc.creator | Michael, Loizos | en |
dc.creator | Miller, R. | en |
dc.date.accessioned | 2019-11-13T10:39:28Z | |
dc.date.available | 2019-11-13T10:39:28Z | |
dc.date.issued | 2014 | |
dc.identifier.isbn | 978-1-57735-657-8 | |
dc.identifier.uri | http://gnosis.library.ucy.ac.cy/handle/7/53812 | |
dc.description.abstract | We 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.publisher | AAAI press | en |
dc.source | 14th International Conference on the Principles of Knowledge Representation and Reasoning, KR 2014 | en |
dc.source | 14th International Conference on the Principles of Knowledge Representation and Reasoning, KR 2014 | en |
dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84962074016&partnerID=40&md5=5573fb6a43036f39893893fe1eaf8742 | |
dc.subject | Artificial intelligence | en |
dc.subject | Knowledge representation | en |
dc.subject | Explicit information | en |
dc.subject | Central problems | en |
dc.subject | Formal framework | en |
dc.subject | Research programs | en |
dc.subject | Technology transfer | en |
dc.subject | Text comprehensions | en |
dc.subject | World knowledge | en |
dc.title | A psychology-inspired approach to automated narrative text comprehension | en |
dc.type | info:eu-repo/semantics/conferenceObject | |
dc.description.startingpage | 610 | |
dc.description.endingpage | 613 | |
dc.author.faculty | 002 Σχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied Sciences | |
dc.author.department | Τμήμα Πληροφορικής / Department of Computer Science | |
dc.type.uhtype | Conference Object | en |
dc.description.notes | Siemens AG Osterreich | de |
dc.description.notes | <p>Sponsors: Artificial Intelligence Journal | en |
dc.description.notes | Association for Logic Programming (ALP) | en |
dc.description.notes | et al. | en |
dc.description.notes | European Coordinating Committee for Artificial Intelligence (ECCAI) | en |
dc.description.notes | Principles of Knowledge Representation and Reasoning, Incorporated (KR Inc.) | en |
dc.description.notes | Conference code: 116755 | en |
dc.description.notes | Cited By :1</p> | en |
dc.contributor.orcid | Kakas, Antonis C. [0000-0001-6773-3944] | |
dc.contributor.orcid | Diakidoy, Irene-Anna N. [0000-0003-3650-8108] | |
dc.gnosis.orcid | 0000-0001-6773-3944 | |
dc.gnosis.orcid | 0000-0003-3650-8108 | |