Approaches to Exploring Category Information for Question Retrieval in Community Question-Answer Archives

被引:39
作者
Cao, Xin [1 ]
Cong, Gao [1 ]
Cui, Bin [2 ,3 ]
Jensen, Christian S. [4 ]
Yuan, Quan [1 ]
机构
[1] Nanyang Technol Univ, Sch Comp Engn, Singapore, Singapore
[2] Peking Univ, Dept Comp Sci, Beijing, Peoples R China
[3] Peking Univ, Minist Educ, Key Lab High Confidence Software Technol, Beijing, Peoples R China
[4] Aarhus Univ, Dept Comp Sci, DK-8000 Aarhus C, Denmark
关键词
Algorithms; Experimentation; Performance; Question-answering services; question search; categorization; cluster-based retrieval; TEXT CATEGORIZATION;
D O I
10.1145/2180868.2180869
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Community Question Answering (CQA) is a popular type of service where users ask questions and where answers are obtained from other users or from historical question-answer pairs. CQA archives contain large volumes of questions organized into a hierarchy of categories. As an essential function of CQA services, question retrieval in a CQA archive aims to retrieve historical question-answer pairs that are relevant to a query question. This article presents several new approaches to exploiting the category information of questions for improving the performance of question retrieval, and it applies these approaches to existing question retrieval models, including a state-of-the-art question retrieval model. Experiments conducted on real CQA data demonstrate that the proposed techniques are effective and efficient and are capable of outperforming a variety of baseline methods significantly.
引用
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页数:38
相关论文
共 39 条
[1]  
Agichtein Eugene, 2008, Proceedings of the 17th International Conference on World Wide Web, P467
[2]  
[Anonymous], 2008, Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval, SIGIR '08, DOI DOI 10.1145/1390334.1390417
[3]  
[Anonymous], 2008, P 2008 INT C WEB SEA
[4]  
[Anonymous], 2008, P ACL 08
[5]  
[Anonymous], 2008, P 31 ANN INT ACM SIG
[6]  
[Anonymous], 1994, P TREC
[7]  
Berger A., 2000, SIGIR Forum, V34, P192
[8]  
Burke RD, 1997, AI MAG, V18, P57
[9]  
Cao X., 2009, PROCEEDING 18 ACMCON, P265, DOI [10.1145/1645953.1645989, DOI 10.1145/1645953.1645989]
[10]  
Cao X., 2010, P 19 INT C WORLD WID, P201, DOI DOI 10.1145/1772690.1772712