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CMIC@INEX 2008: Link-the-Wiki Track

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Advances in Focused Retrieval (INEX 2008)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5631))

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Abstract

This paper describes the runs that I submitted to the INEX 2008 Link-the-Wiki track. I participated in the incoming File-to-File and the outgoing Anchor-to-BEP tasks. For the File-to-File task I used a generic IR engine and constructed queries based on the title, keywords, and keyphrases of the Wikipedia article. My runs performed well for this task achieving the highest precision for low recall levels. Further post-hoc experiments showed that constructing queries using titles only produced even better results than the official submissions. For the Anchor-to-BEP task, I used a keyphrase extraction engine developed in-house and I filtered the keyphrases using existing Wikipedia titles. Unfortunately, my runs performed poorly compared to those of other groups. I suspect that this was the result of using many phrases that were not central to articles as anchors.

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References

  1. Dunning, T.E.: Accurate methods for the statistics of surprise and coincidence. Computational Linguistics 19(1), 61–74 (1993)

    Google Scholar 

  2. Evert, S.: The Statistics of Word Cooccurrences: Word Pairs and Collocations. Ph.D. Dissertation, Institut für maschinelle Sprachverarbeitung, University of Stuttgart (2004)

    Google Scholar 

  3. Hammouda, K., Kamel, M.: Efficient Phrase-based Document Indexing for Web Document Clustering. IEEE Transactions on Knowledge and Data Engineering 16(10), 1279–1296 (2004)

    Article  Google Scholar 

  4. Manning, C., Schutze, H.: Foundations of Statistical Natural Language Processing. MIT Press, Cambridge (1999)

    MATH  Google Scholar 

  5. Metzler, D., Croft, W.B.: Combining the Language Model and Inference Network Approaches to Retrieval. Information Processing and Management Special Issue on Bayesian Networks and Information Retrieval 40(5), 735–750 (2004)

    Google Scholar 

  6. Turney, P.D.: Coherent keyphrase extraction via web mining. In: Proceedings of IJCAI, Acapulco, Mexico, pp. 434–439 (2002)

    Google Scholar 

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© 2009 Springer-Verlag Berlin Heidelberg

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Darwish, K. (2009). CMIC@INEX 2008: Link-the-Wiki Track. 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_34

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  • DOI: https://doi.org/10.1007/978-3-642-03761-0_34

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-03760-3

  • Online ISBN: 978-3-642-03761-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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