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Document Expansion for Text-Based Image Retrieval at CLEF 2009

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Multilingual Information Access Evaluation II. Multimedia Experiments (CLEF 2009)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6242))

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Abstract

In this paper, we describe and analyze our participation in the WikipediaMM task at CLEF 2009. Our main efforts concern the expansion of the image metadata from the Wikipedia abstracts collection - DBpedia. In our experiments, we use the Okapi feedback algorithm for document expansion. Compared with our text retrieval baseline, our best document expansion RUN improves MAP by 17.89%. As one of our conclusions, document expansion from external resource can play an effective factor in the image metadata retrieval task.

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References

  1. Tsikrika, T., Kludas, J.: Overview of the WikipediaMM Task at ImageCLEF 2009. In: Peters, C., et al. (eds.) CLEF 2009 Workshop, Part II. LNCS, vol. 6242, pp. 60–71. Springer, Heidelberg (2010)

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  2. Min, J., Wilkins, P., Leveling, J., Jones, G.: DCU at WikipediaMM 2009: Document Expansion from Wikipedia Abstracts. In: Working Notes for the CLEF 2009 Workshop, Corfu, Greece (2009)

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  3. Rocchio, J.: Relevance feedback in information retrieval. In: Salton, G. (ed.) The SMART Retrieval System-Experiments in Automatic Document Processing, Englewood Cliffs, NJ, USA, pp. 313–323 (1971)

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  4. Singhal, A., Pereira, F.: Document Expansion for Speech Retrieval. In: Proceedings of the 22nd Annual International ACM SIGIR Conference on Research and Development in Infomation Rtrieval, Berkeley, California, USA, pp. 34–41 (1999)

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  5. Billerbeck, B., Zobel, J.: Document expansion versus query expansion for ad-hoc retrieval. In: The Tenth Australasian Document Computing Symposium, Sydney, Australia, pp. 34–41 (2005)

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© 2010 Springer-Verlag Berlin Heidelberg

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Min, J., Wilkins, P., Leveling, J., Jones, G.J.F. (2010). Document Expansion for Text-Based Image Retrieval at CLEF 2009. In: Peters, C., et al. Multilingual Information Access Evaluation II. Multimedia Experiments. CLEF 2009. Lecture Notes in Computer Science, vol 6242. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15751-6_19

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  • DOI: https://doi.org/10.1007/978-3-642-15751-6_19

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15750-9

  • Online ISBN: 978-3-642-15751-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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