This article discusses Web-Based Open Domain Question Answering System and the relevant technologies, such as information retrieval, information extraction, natural language process and so on. It gives a general system architecture of Open Domain Question Answering System and analyzes the component of the it such as question analysis, information retrieval, answer generation.
付鸿鹄. 基于Web的开放领域问答系统研究[J]. 现代图书情报技术, 2005, 21(9): 36-40.
Fu Honghu. Research of Web-Based Open Domain Question Answering System. New Technology of Library and Information Service, 2005, 21(9): 36-40.
1H. Yang, H. Cui, M. Maslennikov, L. Qiu, M.-Y. Kan, T. Chua. QUALIFIER In TREC-12 QA Main Task.In: Proceeding of the 12th Text Retrieval Conference (TREC). NIST. Gaithersburg.MD.2003. 480-488. http://trec.nist.gov/pubs/trec12/papers/nus-yang.qa.pdf(Accessed May 23, 2005)
2http://trec.nist.gov/(Accessed May 23, 2005)
3E.M.Voorhees.The TREC-8 Question Answering Track Report.In: Proceeding of the 8th Text Retrieval Conference (TREC),NIST,Gaithersburg,MD,1999. 77-82.http://trec.nist.gov/pubs/trec8/papers/qa_report.pdf(Accessed May 23, 2005)
4E.M.Voorhees.Overview of the TREC2003 Question Answering Track.In: Proceeding of the 12th Text Retrieval Conference(TREC).NIST.Gaithersburg.MD.2003. 54-68. http://trec.nist.gov/pubs/trec12/papers/QA.OVERVIEW.pdf(Accessed May 23, 2005)
5B. Katz, J. Lin, D. Loreto, W. Hildebrandt, M. Bilotti, S. Felshin, A. Fernandes, G. Marton, F. Mora.Integrating Web-based and Corpus-based Techniques for Question Answering. Proceeding of the 12th Text Retrieval Conference (TREC). NIST. Gaithersburg.MD.2003. 426-435 http://trec.nist.gov/pubs/trec12/papers/mit.qa.pdf(Accessed May 23, 2005)
6A. Echihabi, U.Hermjakob, E. Hovy, D. Marcu, E. Melz, D. Ravichandran.Multiple-Engine Question Answering in TextMap. Proceeding of the 12th Text Retrieval Conference (TREC). NIST. Gaithersburg.MD.2003,772-781. http://trec.nist.gov/pubs/trec12/papers/usc-isi.qa.pdf(Accessed May 23, 2005)
7S. Harabagiu, D. Moldovan, C. Clark, M. Bowden, J. Williams, J. Bensley.Answer Mining by Combining Extraction Techniques with Abductive Reasoning. Proceeding of the 12th Text Retrieval Conference (TREC). NIST. Gaithersburg.MD.2003,375-383. http://trec.nist.gov/pubs/trec12/papers/lcc.qa.pdf(Accessed May 23, 2005)
8E. Nyberg, T. Mitamura, J. Callan, J. Carbonnell, R. Frederking, K. Collins-Thompson, L. Hiyakumoto, Y. Huang, C. Huttenhower, S. Judy, J. Ko, A. Kupsc, L.V. Lita, V. Pedro, D. Svoboda, and B. Van Durme.The JAVELIN Question-Answering System at TREC 2003: A Multi-Strategh Approach with Dynamic Planning. Proceeding of the 12th Text Retrieval Conference (TREC). NIST. Gaithersburg.MD.2003. http://trec.nist.gov/pubs/trec12/papers/cmu.javelin.qa.pdf(Accessed May 23, 2005)
9崔桓,蔡东风,苗雪雷.基于网络的中文问答系统及信息抽取算法研究.中文信息学报,2004(3):24-31
10X.Li,D.Roth.Learning Question Classifiers. Proceedings of the 19th International Conference on Computational Linguistics(COLING).Taipei,Taiwan,2002,556-562. http://acl.ldc.upenn.edu/C/C02/C02-1150.pdf(Accessed May 23, 2005)
11D.Zhang , W.S.Lee.Question Classification using Support Vector Machines. Proceedings of the 26th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval(SIGIR).Toronto,Canada,2003,26-32.http://www.comp.nus.edu.sg/~leews/publications/p31189-zhang.pdf(Accessed May.23, 2005)
12D. Zhang, W.S. Lee, National University of Singapore-MIT Alliance.A Language Modeling Approach to Passage Question Answering. Proceeding of the 12th Text Retrieval Conference (TREC). NIST. Gaithersburg.MD.2003, 489-495. http://trec.nist.gov/pubs/trec12/papers/nus-zhang.qa.pdf(Accessed May 23, 2005)
13W.Li,Question Classification Using Language Modeling. CIIR Technical Report,University of Massachusetts,Amherst,2002. http://ciir.cs.umass.edu/~weili/papers/qc.pdf(Accessed May 23, 2005)
14F.Peng,D.Schuurmans,Combing Na?ve Bayes and n-Gram Language Models for Text Classification. Proceedings of the 25th European Conference on Information Retrieval Research(ECIR),Pisa,Italy,2002, 335-350. http://net.pku.edu.cn/~wbia/Readings/classification/Combining%20Naive%20Bayes%20and%20n-Gram%20Language%20Models%20for%20Text%20Classication.pdf(Accessed May 23, 2005)
15R. Srihari, W. Li.Information Extraction Supported Question Answering.In: Proceeding of the 8th Text Retrieval Conference (TREC) ,NIST,Gaithersburg,MD,185-197. http://trec.nist.gov/pubs/trec8/papers/cymfony.pdf(Accessed May 23, 2005)
16李季,迟呈英.中文问答系统的研究.鞍山科技大学学报,2003(12):437-440
17张永奎,赵辄谦,白丽君,陈鑫卿.基于互联网的中文问答系统.计算机工程,2003(9):84-85
18Abrahm Ittycheriah,Martin Franz,Weijing Zhu,Adwait Ratnaparkhi,IBM's Statistical question answering system. In: Proceeding of the 9th Text Retrieval Conference(TREC) .NIST.Gaithersburg.MD.2000. http://trec.nist.gov/pubs/trec9/papers/ibm_qa.pdf(Accessed May 23, 2005)
19Abrahm Ittycheriah,Martin Franz,Salim Roukos, IBM's Statistical question answering system-TREC-10. In: Proceeding of the 10th Text Retrieval Conference(TREC).NIST.Gaithersburg.MD.2001. http://trec.nist.gov/pubs/trec10/papers/trec2001.pdf(Accessed May 23, 2005)
20Kwok C, Etzioni O, Weld D S. Scaling Question Answering to the Web. In: Proceedings of the 10th World Wide Web Conference(WWW2001), HongKong, 2001. http://www.cs.washington.edu/homes/etzioni/papers/acm-mulder.pdf(Accessed May 23, 2005)