Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/9590
Full metadata record
DC FieldValueLanguage
dc.contributor.authorKeklik, Onur-
dc.contributor.authorTuğlular, Tuğkan-
dc.contributor.authorTekir, Selma-
dc.date.accessioned2020-07-25T22:17:42Z-
dc.date.available2020-07-25T22:17:42Z-
dc.date.issued2019-
dc.identifier.issn1745-1361-
dc.identifier.urihttps://doi.org/10.1587/transinf.2018EDP7199-
dc.identifier.urihttps://hdl.handle.net/11147/9590-
dc.descriptionTuğlular, Tuğkan/0000-0001-6797-3913en_US
dc.descriptionWOS: 000473257700015en_US
dc.description.abstractThis paper proposes a new rule-based approach to automatic question generation. The proposed approach focuses on analysis of both syntactic and semantic structure of a sentence. Although the primary objective of the designed system is question generation from sentences, automatic evaluation results shows that, it also achieves great performance on reading comprehension datasets, which focus on question generation from paragraphs. Especially, with respect to METEOR metric, the designed system significantly outperforms all other systems in automatic evaluation. As for human evaluation, the designed system exhibits similar performance by generating the most natural (human-like) questions.en_US
dc.language.isoenen_US
dc.publisherInstitute of Electronics, Information and Communication Engineersen_US
dc.relation.ispartofIEICE Transactions on Information and Systemsen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectquestion generationen_US
dc.subjectrule-baseden_US
dc.subjectsemantic role labelingen_US
dc.subjectMETEORen_US
dc.titleRule-based automatic question generation using semantic role labelingen_US
dc.typeArticleen_US
dc.departmentIzmir Institute of Technology. Computer Engineeringen_US
dc.identifier.volumeE102Den_US
dc.identifier.issue7en_US
dc.identifier.startpage1362en_US
dc.identifier.endpage1373en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.cont.department-temp[Keklik, Onur; Tuğlular, Tuğkan; Tekir, Selma] Izmir Inst Technol, Dept Comp Engn, TR-35430 Izmir, Turkeyen_US
dc.identifier.doi10.1587/transinf.2018EDP7199-
dc.relation.doi10.1587/transinf.2018EDP7199en_US
dc.coverage.doi10.1587/transinf.2018EDP7199en_US
item.openairetypeArticle-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.languageiso639-1en-
item.fulltextNo Fulltext-
item.cerifentitytypePublications-
item.grantfulltextnone-
crisitem.author.deptDepartment of Computer Engineering-
crisitem.author.deptDepartment of Computer Engineering-
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
Show simple item record

CORE Recommender

WEB OF SCIENCETM
Citations

1
checked on Oct 23, 2021

Page view(s)

40
checked on Oct 28, 2021

Google ScholarTM

Check

Altmetric


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.