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dc.contributor.author이근배-
dc.contributor.author한상도-
dc.contributor.author권순철-
dc.contributor.author유환조-
dc.date.accessioned2018-05-24T02:33:22Z-
dc.date.available2018-05-24T02:33:22Z-
dc.date.created2017-01-19-
dc.date.issued2017-01-06-
dc.identifier.urihttps://oasis.postech.ac.kr/handle/2014.oak/48029-
dc.description.abstractQuestion answering (QA) using triples has been widely studied. One important aspect is answer ranking, that is, which answer candidates should be used to find correct answers. We are proposing a new method using type-matching information for ranking QA triples. We recommend using a new ranking method that includes type-matching scores from semantic answer types, and named entity types of answer candidates. Our experiments provided new ranking results with ranking average values that were lower by 24.80. We conclude that our proposed method has great potential for answer ranking.-
dc.publisherSungkyunkwan University-
dc.relation.isPartOfThe 11th International Conference on Ubiquitous Information Management and Communication (ACM IMCOM 2017)-
dc.relation.isPartOfPROCEEDINGS OF THE 11TH INTERNATIONAL CONFERENCE ON UBIQUITOUS INFORMATION MANAGEMENT AND COMMUNICATION-
dc.titleAnswer Ranking based on Named Entity Types for Question Answering-
dc.typeConference-
dc.type.rimsCONF-
dc.identifier.bibliographicCitationThe 11th International Conference on Ubiquitous Information Management and Communication (ACM IMCOM 2017)-
dc.citation.conferenceDate2017-01-05-
dc.citation.conferencePlaceJA-
dc.citation.titleThe 11th International Conference on Ubiquitous Information Management and Communication (ACM IMCOM 2017)-
dc.contributor.affiliatedAuthor이근배-
dc.contributor.affiliatedAuthor한상도-
dc.contributor.affiliatedAuthor권순철-
dc.contributor.affiliatedAuthor유환조-
dc.identifier.scopusid2-s2.0-85015165068-
dc.description.journalClass1-
dc.description.journalClass1-

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유환조YU, HWANJO
Dept of Computer Science & Enginrg
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