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A Web-Based CLIR System with Cross-Lingual Topical Pseudo Relevance Feedback

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Information Access Evaluation. Multilinguality, Multimodality, and Visualization (CLEF 2013)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8138))

Abstract

This paper presents the performance of a Chinese-English cross-language information retrieval (CLIR) system, which is equipped with topic-based pseudo relevance feedback. The web-based workflow simulates the real multilingual retrieval environment, and the feedback mechanism improves retrieval results automatically without putting excessive burden on users.

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References

  1. Blei, D.M., Ng, A.Y., Jordan, M.J.: Latent Dirichlet Allocation. Journal of Machine Learning Research 3, 993–1022 (2003)

    MATH  Google Scholar 

  2. Ye, Z., Huang, X., Lin, H.: Finding a good query-related topic for boosting pseudo relevance feedback. Journal of the American Society for Information Science and Technology 62(4), 748–760 (2011)

    Article  Google Scholar 

  3. Wang, X., Zhang, Q., Wang, X., et al.: LDA based pseudo relevance feedback for cross language information retrieval. In: IEEE International Conference on Cloud Computing and Intelligence Systems, Hangzhou, pp. 1993–1998 (2012)

    Google Scholar 

  4. Mimno, D., Wallach, H.M., Naradowsky, J., et al.: Polylingual topic models. In: Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, EMNLP, pp. 880–889. ACL, Singapore (2009)

    Chapter  Google Scholar 

  5. Vulić, I., Smet, W.D., Moens, M.: Identifying word translations from comparable corpora using latent topic models. In: Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics, Portland, pp. 479–484 (2011)

    Google Scholar 

  6. Ganguly, D., Leveling, J., Jones, G.J.F.: Cross-Lingual Topical Relevance Models. In: COLING (2012)

    Google Scholar 

  7. Wang, X., Wang, X., Sun, Y.: Cross Language Pseudo Relevance Feedback Based on Bilingual Topics. Journal of Beijing University of Posts and Telecommunications 36(4) (2013)

    Google Scholar 

  8. http://www.lemurproject.org/indri.php

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Author information

Authors and Affiliations

  1. Beijing University of Posts and Telecommunications, Beijing, China

    Xuwen Wang & Xiaojie Wang

  2. State Grid Electric Power Research Institute, Beijing, China

    Qiang Zhang

Authors
  1. Xuwen Wang
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  2. Xiaojie Wang
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  3. Qiang Zhang
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Editor information

Editors and Affiliations

  1. Center for the Evaluation of Language and Communication Technologies (CELCT), via alla Cascata 56/c, 38123, Povo, Italy

    Pamela Forner

  2. HES-SO Valais, University of Applied Sciences Western Switzerland, Technopôle 3, 3960, Sierre, Switzerland

    Henning Müller

  3. Departamento de Sistemas Informáticos y Computación, Universitat Politècnica de València, Camino de Vera s/n, 46071, València, Spain

    Roberto Paredes

  4. Departamento de Sistemas Informáticos y Computación, Universitat Politècnica de València, Camino de Vera s/n, 46022, València, Spain

    Paolo Rosso

  5. Bauhaus-Universität Weimar, Bauhausstraße 11, 99423, Weimar, Germany

    Benno Stein

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© 2013 Springer-Verlag Berlin Heidelberg

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Wang, X., Wang, X., Zhang, Q. (2013). A Web-Based CLIR System with Cross-Lingual Topical Pseudo Relevance Feedback. In: Forner, P., Müller, H., Paredes, R., Rosso, P., Stein, B. (eds) Information Access Evaluation. Multilinguality, Multimodality, and Visualization. CLEF 2013. Lecture Notes in Computer Science, vol 8138. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40802-1_13

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  • DOI: https://doi.org/10.1007/978-3-642-40802-1_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-40801-4

  • Online ISBN: 978-3-642-40802-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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