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How Do Named Entities Contribute to Retrieval Effectiveness?

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Multilingual Information Access for Text, Speech and Images (CLEF 2004)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 3491))

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Abstract

The search for features in topics and queries relevant for the performance in information retrieval is an important strategy for system optimization. Named entities in topics are a significant feature contributing to the quality of the retrieval results. In this contribution, we present an analysis on the correlation between the number of named entities present in a topic formulation and the final retrieval quality for these topics by retrieval systems within CLEF. The analysis includes the results of CLEF 2004. We found that a medium positive correlation exists for German, English and Spanish topics. Furthermore, the effect of the document or target language on the retrieval quality is also investigated.

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Mandl, T., Womser-Hacker, C. (2005). How Do Named Entities Contribute to Retrieval Effectiveness?. In: Peters, C., Clough, P., Gonzalo, J., Jones, G.J.F., Kluck, M., Magnini, B. (eds) Multilingual Information Access for Text, Speech and Images. CLEF 2004. Lecture Notes in Computer Science, vol 3491. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11519645_81

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  • DOI: https://doi.org/10.1007/11519645_81

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-27420-9

  • Online ISBN: 978-3-540-32051-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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