Abstract
We build a key term concurrence network based on a large-scale document set. On the basis of the concept of the shortest path length in the large-scale key-term complex network, we propose a novel method of query expansion for complex query, which is a kind of short text. We accomplish information retrieval task for complex query expressed in natural language to testify the performance of the query expansion method. Experimental results show that our novel method turned out effective, but need to acquire good initial analysis for original complex user query.
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References
Van, R.C.: A new theoretical framework for information retrieval. In: Proceedings of 1986 ACM Conference on Research and Development in Information Retrieval, pp. 194–200. ACM, New York (1986)
Baeza-Yates, R., Ribeiro-Neto, B.: Modern information retrieval. Addison-Wesley, Harlow (1999)
Ding, G.D., Bai, S., Wang, B.: Local Co-occurrence Based Query Expansion for Information Retrieval. Journal of Chinese Information Processing 20(003), 84–91 (2006) (丁国栋, 白硕, 王斌. 一种基于局部共现的查询扩展方法. 中文信息学报 20(003), 84–91 (2006))
Van, R.C.: A theoretical basis for the use of co-occurrence data in information retrieval. Journal of Documentation 33(2), 106–119 (1977)
Crouch, C.J., Yang, B.: Experiments in automatic statistical thesaurus construction. In: Proc. of the AGM2SIGIR Conference on Research and Development in Information Retrieval, pp. 77–88. ACM, New York (1992)
Chen, H., Yim, T., Fye, D., et al.: Automatic thesaurus generation for an electronic community system. Journal of the American Society for Information Science 46(3) (1995)
Sch, H., Pedersen, J.O.: A cooccurrence-based thesaurus and two applications to information retrieval. Information Processing and Management 33(3), 307–318 (1997)
Lin, D., Zhao, S., Qin, L., et al.: Identifying synonyms among distributionally similar words, pp. 1492–1493. Lawrence Erlbaum Associates Ltd. (2003)
Miller, G.A., Beckwith, R., Fellbaum, C., et al.: Introduction to wordnet: An on-line lexical database*. International Journal of Lexicography 3(4), 235–244 (1990)
Richardson, R., Smeaton, A.F.: Using WordNet in a knowledge-based approach to information retrieval (1995)
Smeaton, A.F., Berrut, C.: Thresholding postings lists, query expansion by word-word distances and POS tagging of Spanish text (1996)
Mitamura, T., Nyberg, E., Shima, H., et al.: Overview of the NTCIR-7 ACLIA Tasks: Advanced Cross-Lingual Information Access. In: Proceedings of the Seventh NTCIR Workshop Meeting, Tokyo Japan (2008)
Tetsuya Sakai, E.: Overview of the NTCIR-7 ACLIA IR4QA Subtask (2008)
Sakai, T., Kando, N., Lin, C., et al.: Overview of the NTCIR-7 ACLIA IR4QA Task. In: Proceedings of the Seventh NTCIR Workshop Meeting, Tokyo, Japan (2008)
Sakai, T.: Evaluating information retrieval metrics based on bootstrap hypothesis tests. IPSJ Digital Courier 3, 625–642 (2007)
Kek, J.K., Cumulated, J.: gain-based evaluation of IR techniques. ACM Transactions on Information Systems (TOIS) 20(4), 422–446 (2002)
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Yang, H., Zhang, M., Ji, D., Xiao, G. (2013). Complex Query Expansion Based on Weighted Shortest Path Length in Key Term Concurrence Network. In: Liu, P., Su, Q. (eds) Chinese Lexical Semantics. CLSW 2013. Lecture Notes in Computer Science(), vol 8229. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-45185-0_52
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DOI: https://doi.org/10.1007/978-3-642-45185-0_52
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