Abstract
Combining evidence of relevance coming from two sources — a keyword index and a keyphrase index — has been a fundamental part of our INEX-related experiments on XML Retrieval over the past years. In 2008, we focused on improving the quality of the keyphrase index and finding better ways to use it together with the keyword index even when processing non-phrase queries. We also updated our implementation of the word index which now uses a state-of-the-art scoring function for estimating the relevance of XML elements. Compared to the results from previous years, the improvements turned out to be successful in the INEX 2008 ad hoc track evaluation of the focused retrieval task.
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References
Doucet, A., Lehtonen, M.: Let’s phrase it: INEX topics need keyphrases. In: Proceedings of the SIGIR 2008 Workshop on Focused Retrieval, pp. 9–14 (2008)
Lehtonen, M., Doucet, A.: Extirp: Baseline retrieval from wikipedia. In: Fuhr, N., Lalmas, M., Trotman, A. (eds.) INEX 2006. LNCS, vol. 4518, pp. 115–120. Springer, Heidelberg (2007)
Porter, M.F.: An algorithm for suffix stripping. Program 14, 130–137 (1980)
Ahonen-Myka, H.: Finding all frequent maximal sequences in text. In: Mladenic, D., Grobelnik, M. (eds.) Proceedings of the 16th International Conference on Machine Learning ICML 1999 Workshop on Machine Learning in Text Data Analysis, Ljubljana, Slovenia, pp. 11–17. J. Stefan Institute (1999)
Lehtonen, M., Doucet, A.: Phrase detection in the Wikipedia. In: Fuhr, N., Kamps, J., Lalmas, M., Trotman, A. (eds.) INEX 2007. LNCS, vol. 4862, pp. 115–121. Springer, Heidelberg (2008)
Lehtonen, M., Doucet, A.: XML-aided phrase indexing for hypertext documents. In: SIGIR 2008: Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval, pp. 843–844. ACM, New York (2008)
Doucet, A., Ahonen-Myka, H.: Fast extraction of discontiguous sequences in text: a new approach based on maximal frequent sequences. In: Proceedings of IS-LTC 2006, “Information Society, Language Technology Conference”, pp. 186–191 (2006)
Lemur: Lemur toolkit for language modeling and ir (2003)
Doucet, A., Aunimo, L., Lehtonen, M., Petit, R.: Accurate Retrieval of XML Document Fragments using EXTIRP. In: INEX 2003 Workshop Proceedings, Schloss Dagstuhl, Germany, pp. 73–80 (2003)
Lee, J.H.: Combining multiple evidence from different properties of weighting schemes. In: Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval, pp. 180–188. ACM Press, New York (1995)
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Lehtonen, M., Doucet, A. (2009). Enhancing Keyword Search with a Keyphrase Index. In: Geva, S., Kamps, J., Trotman, A. (eds) Advances in Focused Retrieval. INEX 2008. Lecture Notes in Computer Science, vol 5631. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03761-0_7
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DOI: https://doi.org/10.1007/978-3-642-03761-0_7
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