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GikiCLEF Topics and Wikipedia Articles: Did They Blend?

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6241))

Abstract

This paper presents a post-hoc analysis on how the Wikipedia collections fared in providing answers and justifications to GikiCLEF topics. Based on all solutions found by all GikiCLEF participant systems, this paper measures how self-sufficient the particular Wikipedia collections were to provide answers and justifications for the topics, in order to better understand the recall limit that a GikiCLEF system specialised in one single language has.

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References

  1. Santos, D., Cabral, L.M.: GikiCLEF: Expectations and lessons learned. In: Peters, C., et al. (eds.) CLEF 2009 Workshop, Part I. LNCS, vol. 6241, pp. 212–222. Springer, Heidelberg (2010)

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© 2010 Springer-Verlag Berlin Heidelberg

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Cardoso, N. (2010). GikiCLEF Topics and Wikipedia Articles: Did They Blend?. In: Peters, C., et al. Multilingual Information Access Evaluation I. Text Retrieval Experiments. CLEF 2009. Lecture Notes in Computer Science, vol 6241. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15754-7_37

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  • DOI: https://doi.org/10.1007/978-3-642-15754-7_37

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15753-0

  • Online ISBN: 978-3-642-15754-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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