Published: May 28, 2010Received: -Available on J-STAGE: June 25, 2011Accepted: -
Advance online publication: -
Revised: -
Correction information
Date of correction: August 31, 2011Reason for correction: -Correction: OtherDetails: Wrong : Daisuke ISHIKAWA; Tetsuya SAKAI; Yohe SEKI; Kazuko KURIYAMA and Noriko KANDO: “Determination of the Quality of Answers in Community QA by Multiple Assessors”, Joho Chishiki Gakkaishi, Vol. 21, No. 2, pp.169-177, 2010 . Right : Daisuke ISHIKAWA; Tetsuya SAKAI; Yohe SEKI; Kazuko KURIYAMA and Noriko KANDO: “Determination of the Quality of Answers in Community QA by Multiple Assessors”, Joho Chishiki Gakkaishi, Vol. 21, No. 2, pp.169-177, 2011 .
Typing error in the preparation on the journal article information.(Publication Year)
Date of correction: August 08, 2011Reason for correction: -Correction: AffiliationsDetails: Wrong : Right : Daisuke ISHIKAWA1), Tetsuya SAKAI2), Yohe SEKI3), Kazuko KURIYAMA4) and Noriko KANDO5)
1)National Institute of Informatics 2)Microsoft Research Asia 3)Graduate School of Library, Information and Media Studies, University of Tsukuba 4)Shirayuri College 5)National Institute of Informatics
Typing error in the preparation on the journal article information
Date of correction: August 08, 2011Reason for correction: -Correction: KeywordsDetails: Wrong : [in Japanese] Right : [in Japanese]
Typing error in the preparation on the journal article information
Community Question Answering (CQA) has recently become a popular means of satisfying personal information needs. However, as the quality of answers posted on CQA sites varies widely, there is a need to effectively extract high-quality answers from CQA. In this study, we manually analyzed the high-quality answers from Yahoo! Chiebukuro data by multiple assessors and identi?ed criteria used by assessors to evaluate high-quality answers.
