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http://dx.doi.org/10.3745/KTSDE.2014.3.4.149

Question and Answering System through Search Result Summarization of Q&A Documents  

Yoo, Dong Hyun (금오공과대학교 컴퓨터공학부)
Lee, Hyun Ah (금오공과대학교 컴퓨터소프트웨어공학과)
Publication Information
KIPS Transactions on Software and Data Engineering / v.3, no.4, 2014 , pp. 149-154 More about this Journal
Abstract
A user should pick up relevant answers by himself from various search results when using user participation question answering community like Knowledge-iN. If refined answers are automatically provided, usability of question answering community must be improved. This paper divides questions in Q&A documents into 4 types(word, list, graph and text), then proposes summarizing methods for each question type using document statistics. Summarized answers for word, list and text type are obtained by question clustering and calculating scores for words using frequency, proximity and confidence of answers. Answers for graph type is shown by extracting user opinion from answers.
Keywords
Question and Answering; Question Clustering; Answer Summarization;
Citations & Related Records
Times Cited By KSCI : 6  (Citation Analysis)
연도 인용수 순위
1 Mark T. Maybury, "New Directions in Question Answering", AAAI/MIT Press, 2004.
2 Rivindu Perera, "IPedagogy: Question answering system based on web information clustering", IEEE 4th International Conference on Technology for Education, pp.245-246, 2012.
3 Hoa Trans Dang, Diane Kelly and Jimmy Lin, "Overview of the TREC 2007 Question Answering Track", TREC, 2007.
4 Soyeon Park, Joon Ho Lee, Jiwoon Jeon, "Evaluation of the documents from the Web-based Question and Answer Service", Journal of the Korean society for library and information science, Vol.40, No.1, 2006.   과학기술학회마을   DOI
5 Hye-Rhan Chang, Eun-Tae Lee, "Performance Evaluation of the Question and Answer Services in Internet Portals", Journal of information management, Vol.37, No.2, 2006.   과학기술학회마을   DOI
6 Soojung Kim, "Answerers' Strategies to Provide Credible Information in Question Answering Community", Journal of the Korean Society for Information Management, 27(2), 21-35, 2010.   DOI
7 E. Agichtein, C. Casillo and D. Donato, "Finding high-quality content in social media", Proc. of the International Conference on Web Search and Web Data Mining, pp.183-194, 2008.
8 Chan-Min Ahn, Bumghi Choi, Seok-Ju Chun, Ju-Hong Lee, Jung-Sik Lee, "Question Recommendation for Knowledge Search System", Journal of the Korean association of information education, Vol.14, No.3, pp.405-416, 2010.   과학기술학회마을
9 Xueying Jin and Kyung-Soon Lee, "Question Classification Based on Word Association for Question and Answer Archives", The KIPS Transactions: Part B, Vol.17, No.4, pp.327-332, 2010.   과학기술학회마을   DOI
10 Jongheum Yeon, Junho Shim and Sang-goo Lee, "Modified Naive Bayes Classifier for Categorizing Questions in Question-Answering Community", Journal of KIISE: Computing Practices, Vol.16, No.1, 2010.
11 NAVER Open API, "http://dev.naver.com/openapi"
12 L. A. Adamic, J. Zhang, E. Bakshy and M. S. Ackerman, "Knowledge sharing and yahoo answers: everyone knows something", Proc. of the 17th International Conference on World Wide Web, pp.665-674, 2008.
13 Hochang Lee, Hyunki Tak and Hyun Ah Lee, "Answer Recommendation for Knowledge Search using Term Frequency", Korea Computer Congress(KCC), Vol.39, No.1, 2012.
14 Hochang Lee and Hyun Ah Lee, "Answer Suggestion for Knowledge Search", The 24th Annual Conference of Human and Cognitive Language Technology, pp.201-205, 2012.
15 Machine Learning Lab in The University of Waikato, "Weka", [Online] Available : http://www.cs.waikato.ac.nz/ml
16 Woo Chul Lee, Hyun Ah Lee and Kong Joo Lee, "Product Evaluation Summarization Through Linguistic Analysis of Product Reviews", The KIPS Transactions: Part B, Vol.17, No.1, 2010.   과학기술학회마을   DOI
17 L. Hirschman, and R. Gaizauskas, "Natural Language Question Answering. The View from Here", Natural Language Engineering, 7:4:275-300 Cambridge University Press, 2001.