Abstract
To improve and enhance information retrieval techniques, there have been many approaches proposed so far, but few investigation which capture semantic aspects of queries directly. Here we propose a new approach to retrieve contextual dependencies in Japanese based on latent topics. We examine some experimental results to see the effectiveness.
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Blei, D.M., Ng, A.Y., Jordan, M.I.: Latent Dirichlet Allocation. Journal of Machine Learning Research 3, 993–1022 (2003)
Grossman, D.A., Frieder, O.: Information RetrievalAlgorithms and Heuristics, 2nd edn. Springer (2004)
Hofmann, T.: Probabilistic Latent Semantic Indexing. In: Proc. of the Twenty-Second Annual International SIGIR Conference on Research and Development in Information Retrieval, SIGIR 1999 (1999)
Kurohashi, S., Nagao, M.: KN Parser: Japanese Dependency/Case Structure Analyzer, In: Proc. of the Workshop on Sharable Natural Language Resources (1994)
Manning, C.D., Schutze, H.: Foundations of Statistical Natural Language Processing. MIT Press (1999)
Shinzato, K., Kurohashi, S.: Exploiting Term Importance Categories and Dependency Relations for Natural Language Search. In: Proc. of the Second Workshop on NLPIX 2010, Beijing, China, pp. 2–11 (2010)
Wei, X., Bruce Croft, W.: LDA-Based Document Models for Ad-Hoc Retrieval. In: Proc. of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (2006)
Yanagisawa, T., Miura, T., Shioya, I.: Sentences Generation by Frequent Parsing Patterns. In: Fyfe, C., Tino, P., Charles, D., Garcia-Osorio, C., Yin, H. (eds.) IDEAL 2010. LNCS, vol. 6283, pp. 53–62. Springer, Heidelberg (2010)
Yanagisawa, T., Miura, T.: Sentence Generation for Stream Annoucement. In: IEEE Intn’l Pacific Rim Conference on Communications, Computers and Signal Processing, PACRIM (2009)
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Yanagisawa, T., Miura, T. (2012). Context-Based Query Using Dependency Structures Based on Latent Topic Model. In: Abelló, A., Bellatreche, L., Benatallah, B. (eds) Model and Data Engineering. MEDI 2012. Lecture Notes in Computer Science, vol 7602. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33609-6_12
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DOI: https://doi.org/10.1007/978-3-642-33609-6_12
Publisher Name: Springer, Berlin, Heidelberg
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