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Cross-Lingual Pseudo-Relevance Feedback Using a Comparable Corpus

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2406))

Abstract

We applied a Cross-Lingual PRF (Pseudo-Relevance Feedback) system to both the monolingual task and the German->English task. We focused on the effects of extracting a comparable corpus from the given newspaper data; our corpus doubled the average precision when used together with a parallel corpus made available to participants. The PRF performance was lower for the queries with few relevant documents. We also examined the effects of the PRF first-step retrieval in the parallel corpus vs. the entire document collection.

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References

  1. M. Franz et al. Ad hoc and Multilingual Information Retrieval at IBM. In The Seventh Text REtrieval Conference (TREC-8)

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© 2002 Springer-Verlag Berlin Heidelberg

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Rogati, M., Yang, Y. (2002). Cross-Lingual Pseudo-Relevance Feedback Using a Comparable Corpus. In: Peters, C., Braschler, M., Gonzalo, J., Kluck, M. (eds) Evaluation of Cross-Language Information Retrieval Systems. CLEF 2001. Lecture Notes in Computer Science, vol 2406. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45691-0_12

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  • DOI: https://doi.org/10.1007/3-540-45691-0_12

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-44042-0

  • Online ISBN: 978-3-540-45691-9

  • eBook Packages: Springer Book Archive

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