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Workshop of the Cross-Language Evaluation Forum for European Languages

CLEF 2007: Advances in Multilingual and Multimodal Information Retrieval pp 695–702Cite as

Model Fusion Experiments for the CLSR Task at CLEF 2007

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5152))

Abstract

This paper presents the participation of the University of Ottawa group in the Cross-Language Speech Retrieval (CL-SR) task at CLEF 2007. We present the results of the submitted runs for the English collection. We have used two Information Retrieval systems in our experiments: SMART and Terrier, with two query expansion techniques: one based on a thesaurus and the second one based on blind relevant feedback. We proposed two novel data fusion methods for merging the results of several models (retrieval schemes available in SMART and Terrier). Our experiments showed that the combination of query expansion methods and data fusion methods helps to improve the retrieval performance. We also present cross-language experiments, where the queries are automatically translated by combining the results of several online machine translation tools. Experiments on indexing the manual summaries and keywords gave the best retrieval results.

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References

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Authors and Affiliations

  1. School of Information Technology and Engineering, University of Ottawa,  

    Muath Alzghool & Diana Inkpen

Authors
  1. Muath Alzghool
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  2. Diana Inkpen
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Editor information

Carol Peters Valentin Jijkoun Thomas Mandl Henning Müller Douglas W. Oard Anselmo Peñas Vivien Petras Diana Santos

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© 2008 Springer-Verlag Berlin Heidelberg

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Alzghool, M., Inkpen, D. (2008). Model Fusion Experiments for the CLSR Task at CLEF 2007. In: Peters, C., et al. Advances in Multilingual and Multimodal Information Retrieval. CLEF 2007. Lecture Notes in Computer Science, vol 5152. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85760-0_88

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  • DOI: https://doi.org/10.1007/978-3-540-85760-0_88

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-85759-4

  • Online ISBN: 978-3-540-85760-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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