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UNED at ImageCLEF 2005: Automatically Structured Queries with Named Entities over Metadata

  • Víctor Peinado
  • Fernando López-Ostenero
  • Julio Gonzalo
  • Felisa Verdejo
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4022)

Abstract

In this paper, we present our participation in the ImageCLEF 2005 ad-hoc task. After a pool of preliminary tests in which we evaluated the impact of different-size dictionaries using three distinct approaches, we proved that the biggest differences were obtained by recognizing named entities and launching structured queries over the metadata. Thus, we decided to refine our named entities recognizer and repeat the three approaches with the 2005 topics, achieving the best result among all cross-language European Spanish to English runs.

Keywords

Query Expansion Entity Recognition Proper Noun Springer Lecture Note Structure Query 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

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    Clough, P., Müller, H., Deselears, T., Grubinger, M., Lehmann, T.M., Jensen, J., Hersh, W.: The CLEF 2005 Cross–Language Image Retrieval Track. In: Peters, C., Gey, F.C., Gonzalo, J., Müller, H., Jones, G.J.F., Kluck, M., Magnini, B., de Rijke, M., Giampiccolo, D. (eds.) CLEF 2005. LNCS, vol. 4022, pp. 535–557. Springer, Heidelberg (2006)CrossRefGoogle Scholar
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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Víctor Peinado
    • 1
  • Fernando López-Ostenero
    • 1
  • Julio Gonzalo
    • 1
  • Felisa Verdejo
    • 1
  1. 1.NLP Group, ETSI Informática, UNEDMadridSpain

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