Intelligent textbooks are often engineered with an explicit representation of their concepts and prerequisite relations (PR). PR identification is hence crucial for intelligent textbooks but still presents some challenges, also when performed by human experts. This may cause PR-annotated datasets to be inconsistent and compromise the accuracy of automatic creation of enhanced learning materials. This paper investigates possible reasons for PR disagreement and the nature of PR itself, with the aim of contributing to the development of shared strategies for PR annotation, analysis and modelling in textbooks.
Digging into prerequisite annotation
Alzetta C.;
2020
Abstract
Intelligent textbooks are often engineered with an explicit representation of their concepts and prerequisite relations (PR). PR identification is hence crucial for intelligent textbooks but still presents some challenges, also when performed by human experts. This may cause PR-annotated datasets to be inconsistent and compromise the accuracy of automatic creation of enhanced learning materials. This paper investigates possible reasons for PR disagreement and the nature of PR itself, with the aim of contributing to the development of shared strategies for PR annotation, analysis and modelling in textbooks.| Campo DC | Valore | Lingua |
|---|---|---|
| dc.authority.anceserie | CEUR WORKSHOP PROCEEDINGS | en |
| dc.authority.orgunit | Istituto di linguistica computazionale "Antonio Zampolli" - ILC | en |
| dc.authority.people | Alzetta C. | en |
| dc.authority.people | Galluccio I. | en |
| dc.authority.people | Koceva F. | en |
| dc.authority.people | Passalacqua S. | en |
| dc.authority.people | Torre I. | en |
| dc.collection.id.s | 71c7200a-7c5f-4e83-8d57-d3d2ba88f40d | * |
| dc.collection.name | 04.01 Contributo in Atti di convegno | * |
| dc.contributor.appartenenza | Istituto di linguistica computazionale "Antonio Zampolli" - ILC | * |
| dc.contributor.appartenenza.mi | 918 | * |
| dc.date.accessioned | 2024/12/03 16:17:26 | - |
| dc.date.available | 2024/12/03 16:17:26 | - |
| dc.date.firstsubmission | 2024/08/27 14:49:09 | * |
| dc.date.issued | 2020 | - |
| dc.date.submission | 2024/08/27 14:49:09 | * |
| dc.description.abstracteng | Intelligent textbooks are often engineered with an explicit representation of their concepts and prerequisite relations (PR). PR identification is hence crucial for intelligent textbooks but still presents some challenges, also when performed by human experts. This may cause PR-annotated datasets to be inconsistent and compromise the accuracy of automatic creation of enhanced learning materials. This paper investigates possible reasons for PR disagreement and the nature of PR itself, with the aim of contributing to the development of shared strategies for PR annotation, analysis and modelling in textbooks. | - |
| dc.description.allpeople | Alzetta, C.; Galluccio, I.; Koceva, F.; Passalacqua, S.; Torre, I. | - |
| dc.description.allpeopleoriginal | Alzetta C.; Galluccio I.; Koceva F.; Passalacqua S.; Torre I. | en |
| dc.description.fulltext | none | en |
| dc.description.international | no | en |
| dc.description.numberofauthors | 5 | - |
| dc.identifier.scopus | 2-s2.0-85093840759 | en |
| dc.identifier.source | scopus | * |
| dc.identifier.uri | https://hdl.handle.net/20.500.14243/493643 | - |
| dc.language.iso | eng | en |
| dc.publisher.name | CEUR-WS | en |
| dc.relation.conferencedate | 2020 | en |
| dc.relation.conferencename | 2nd International Workshop on Intelligent Textbooks, iTextbooks 2020 | en |
| dc.relation.firstpage | 29 | en |
| dc.relation.ispartofbook | CEUR Workshop Proceedings of the 2nd International Workshop on Intelligent Textbooks, iTextbooks 2020 | en |
| dc.relation.lastpage | 34 | en |
| dc.relation.numberofpages | 6 | en |
| dc.relation.volume | 2674 | en |
| dc.subject.keywords | Agreement | - |
| dc.subject.keywords | Annotation | - |
| dc.subject.keywords | Prerequisite relation | - |
| dc.subject.singlekeyword | Agreement | * |
| dc.subject.singlekeyword | Annotation | * |
| dc.subject.singlekeyword | Prerequisite relation | * |
| dc.title | Digging into prerequisite annotation | en |
| dc.type.driver | info:eu-repo/semantics/conferenceObject | - |
| dc.type.full | 04 Contributo in convegno::04.01 Contributo in Atti di convegno | it |
| dc.type.miur | 273 | - |
| iris.orcid.lastModifiedDate | 2024/12/03 16:17:26 | * |
| iris.orcid.lastModifiedMillisecond | 1733239046132 | * |
| iris.scopus.extIssued | 2020 | - |
| iris.scopus.extTitle | Digging into prerequisite annotation | - |
| iris.sitodocente.maxattempts | 1 | - |
| scopus.authority.anceserie | CEUR WORKSHOP PROCEEDINGS###1613-0073 | * |
| scopus.category | 1700 | * |
| scopus.contributor.affiliation | University of Genoa | - |
| scopus.contributor.affiliation | University of Genoa | - |
| scopus.contributor.affiliation | University of Genoa | - |
| scopus.contributor.affiliation | University of Genoa | - |
| scopus.contributor.affiliation | University of Genoa | - |
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| scopus.contributor.country | Italy | - |
| scopus.contributor.country | Italy | - |
| scopus.contributor.country | Italy | - |
| scopus.contributor.country | Italy | - |
| scopus.contributor.country | Italy | - |
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| scopus.contributor.name | Chiara | - |
| scopus.contributor.name | Ilenia | - |
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| scopus.contributor.subaffiliation | DIBRIS; | - |
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| scopus.contributor.subaffiliation | DIBRIS; | - |
| scopus.contributor.subaffiliation | DIBRIS; | - |
| scopus.contributor.surname | Alzetta | - |
| scopus.contributor.surname | Galluccio | - |
| scopus.contributor.surname | Koceva | - |
| scopus.contributor.surname | Passalacqua | - |
| scopus.contributor.surname | Torre | - |
| scopus.date.issued | 2020 | * |
| scopus.description.abstracteng | Intelligent textbooks are often engineered with an explicit representation of their concepts and prerequisite relations (PR). PR identification is hence crucial for intelligent textbooks but still presents some challenges, also when performed by human experts. This may cause PR-annotated datasets to be inconsistent and compromise the accuracy of automatic creation of enhanced learning materials. This paper investigates possible reasons for PR disagreement and the nature of PR itself, with the aim of contributing to the development of shared strategies for PR annotation, analysis and modelling in textbooks. | * |
| scopus.description.allpeopleoriginal | Alzetta C.; Galluccio I.; Koceva F.; Passalacqua S.; Torre I. | * |
| scopus.differences | scopus.relation.conferencename | * |
| scopus.differences | scopus.subject.keywords | * |
| scopus.document.type | cp | * |
| scopus.document.types | cp | * |
| scopus.identifier.pui | 633206225 | * |
| scopus.identifier.scopus | 2-s2.0-85093840759 | * |
| scopus.journal.sourceid | 21100218356 | * |
| scopus.language.iso | eng | * |
| scopus.publisher.name | CEUR-WS | * |
| scopus.relation.conferencedate | 2020 | * |
| scopus.relation.conferencename | 2nd International Workshop on Intelligent Textbooks, iTextbooks 2020 co-located with 21st International Conference on Artificial Intelligence inEducation, AIED 2020 | * |
| scopus.relation.firstpage | 29 | * |
| scopus.relation.lastpage | 34 | * |
| scopus.relation.volume | 2674 | * |
| scopus.subject.keywords | Agreement; Annotation; Prerequisite relation; | * |
| scopus.title | Digging into prerequisite annotation | * |
| scopus.titleeng | Digging into prerequisite annotation | * |
| Appare nelle tipologie: | 04.01 Contributo in Atti di convegno | |
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