Abstract
Discussion boards and online forums provide a platform for users to share ideas, discuss issues and communicate with each other. Nowadays most of the discussion boards are used as problem-solving platforms which can be seen as question-answering knowledge bases. Therefore, if system can automatically locate the similar questions which have appeared previously, then the same answers could be returned to users to eliminate the time users wait for. In this paper, a novel question retrieval method is proposed. Keywords based inverted index is chosen as the basis technology, and dependency information, language model, and simple semantic information is used to extend it. Experimental results show the effectiveness and benefits of our approach.
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Cong, G., Wang, C.Y., Song, Y.I., Sun, Y.: Finding question-answer pairs from online formus. In: 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 467–474. ACM, New York (2008)
Ding, S., Cong, G., Lin, C., Zhu, X.: Using conditional random fields to extract contexts and answers of questions from online forum. In: 46th Annual Meeting of the Association for Computational Linguistic: Human Language Tchnologies (ACL: HLT), Columbus, pp. 710–718 (2008)
Hong, L.J., Davison, B.D.: A classification-based approach to question answering in discussion boards. In: 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 171–178. ACM, Boston (2009)
Feng, D., Shwa, E., Kim, J., Hovy, E.: An intelligent discussion-bot for answering student queries in threaded discussions. In: 11th International Conference on Intelligent User Interfaces, pp. 171–177. ACM, New York (2006)
Jeon, J., Croft, W.B., Lee, J.H.: Finding semantically similar questions based on their answers. In: 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 617–618. ACM, New York (2005)
Jeon, J., Croft, W.B., Lee, J.H.: Finding similar questions in large question and answer archives. In: 14th ACM International Conference on Information and Knowledge Management, pp. 84–90. ACM, New York (2005)
Cao, Y., Duan, H., Lin, C.Y., Hon, H.W.: Recommending questions using the MDL-based tree cut model. In: 17th International Conference on World Wide Web, pp. 81–90. ACM, New York (2008)
Voorhees, E.M.: The TREC question answering track. Nat. Lang. Eng. 7(4), 361–378 (2001)
Tesniere, L.: Elements de Syntaxe Structurals. Klincksieck, Pairs (1959)
Gaifman, H.: Dependency Systems and Phrase-Structure Systems. Information and Control 8, 304–337 (1965)
Hayes, D.G.: Dependency Theory: A Formalism and Some Observations. Language 40, 511–525 (1964)
Jin, H., Schwartz, R., Sista, S., Walls, F.: Topic tracking for radio, TV broadcast, and newswire. In: DARPA Broadcast News Workshop, Herndon, Virginia, USA, pp. 199–204 (1999)
Lee, C., Lee, G.G., Jang, M.: Dependency structure language model for topic detection and tracking. Information Processing and Managment 43(5), 1249–1259 (2007)
Miller, D.R.H., Leek, T., Schwartz, R.M.: A hidden Markov model information retrieval system. In: 22nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 214–221. ACM, California (1999)
Spitters, M., Kraaij, W.: A language modeling approach to tracking news events. In: TDT Workshop 2000, pp. 101–106. Gaithersburg (2000)
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Qiu, J., Jian-Liao, L., Kang-Hao, J. (2010). Chinese Question Retrieval System Using Dependency Information. In: An, A., Lingras, P., Petty, S., Huang, R. (eds) Active Media Technology. AMT 2010. Lecture Notes in Computer Science, vol 6335. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15470-6_30
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DOI: https://doi.org/10.1007/978-3-642-15470-6_30
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