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The Potential Benefit of Focused Retrieval in Relevant-in-Context Task

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Comparative Evaluation of Focused Retrieval (INEX 2010)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6932))

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Abstract

This study addresses the Relevant-in-Context retrieval task and seeks justification for systems providing focused answers to be successful in it. Obviously, under some circumstances the full document retrieval is sufficient in finding relevant material effectively. Namely, the Relevant-in-Context retrieval does not bring any improvements in case the retrieved documents are thoroughly (i.e. densely) relevant, or the relevant material is located in the document start. By using the INEX data, we perform a topic-wise analysis focusing on these qualities of the retrieved relevant documents. In addition, we evaluate the submitted INEX runs with various measures, in order to study how different T2I values affect the mutual rankings and measure the systems in locating the relevant material within a document.

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References

  1. Arvola, P.: Passage Retrieval Evaluation Based on Intended Reading Order. In: Workshop Information Retrieval, LWA 2008, pp. 91–94 (2008)

    Google Scholar 

  2. Arvola, P., Junkkari, M., Kekäläinen, J.: Applying XML Retrieval Methods for Result Document Navigation in Small Screen Devices. In: Proceedings of MUIA at MobileHCI 2006, pp. 6–10 (2006)

    Google Scholar 

  3. Arvola, P., Kekäläinen, J., Junkkari, M.: Expected reading effort in focused retrieval evaluation. Information Retrieval 13(4), 460–484 (2010)

    Article  Google Scholar 

  4. Arvola, P., Kekäläinen, J., Junkkari, M.: Focused access to sparsely and densely relevant documents. In: Proceedings of SIGIR 2010, pp. 781–782 (2010)

    Google Scholar 

  5. Chiaramella, Y.: Information retrieval and structured documents. Lectures on Information Retrieval, pp. 286–309 (2001)

    Google Scholar 

  6. Järvelin, K., Kekäläinen, J.: Cumulated Gain-Based Evaluation of IR Techniques. ACM Transactions on Information Systems 20(4), 422–446 (2002)

    Article  Google Scholar 

  7. Kamps, J., Lalmas, M., Pehcevski, J.: Evaluating relevant in context: Document retrieval with a twist. In: Proceedings SIGIR 2007, pp. 749–750 (2007)

    Google Scholar 

  8. Kamps, J., Pehcevski, J., Kazai, G., Lalmas, M., Robertson, S.: INEX 2007 evaluation measures. In: Fuhr, N., Kamps, J., Lalmas, M., Trotman, A. (eds.) INEX 2007. LNCS, vol. 4862, pp. 24–33. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  9. Kazai, G., Lalmas, M.: Notes on what to measure in INEX. In: Proceedings of the INEX, Workshop on Element Retrieval Methodology, INEX 2005, pp. 22–38 (2005)

    Google Scholar 

  10. Kekäläinen, J., Järvelin, K.: Using graded relevance assessments in IR evaluation. Journal of the American Society for Information Science and Technology 53, 1120–1129 (2002)

    Article  Google Scholar 

  11. Piwowarski, B., Lalmas, M.: Providing consistent and exhaustive relevance assessments for XML retrieval evaluation. In: Proceedings of CIKM 2004, pp. 361–370 (2004)

    Google Scholar 

  12. Trotman, A., Pharo, N., Lehtonen, M.: XML-IR Users and Use Cases. In: Fuhr, N., Lalmas, M., Trotman, A. (eds.) INEX 2006. LNCS, vol. 4518, pp. 400–412. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  13. de Vries, A.P., Kazai, G., Lalmas, M.: Tolerance to irrelevance: A user-effort oriented evaluation of retrieval systems without predefined retrieval unit. In: Proceedings of RIAO 2004, pp. 463–473 (2004)

    Google Scholar 

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Arvola, P., Vainio, J. (2011). The Potential Benefit of Focused Retrieval in Relevant-in-Context Task. In: Geva, S., Kamps, J., Schenkel, R., Trotman, A. (eds) Comparative Evaluation of Focused Retrieval. INEX 2010. Lecture Notes in Computer Science, vol 6932. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23577-1_2

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  • DOI: https://doi.org/10.1007/978-3-642-23577-1_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23576-4

  • Online ISBN: 978-3-642-23577-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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