Search (20 results, page 1 of 1)

  • × language_ss:"e"
  • × theme_ss:"Retrievalstudien"
  • × type_ss:"a"
  • × year_i:[2000 TO 2010}
  1. Leininger, K.: Interindexer consistency in PsychINFO (2000) 0.04
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    Date
    9. 2.1997 18:44:22
  2. Kuriyama, K.; Kando, N.; Nozue, T.; Eguchi, K.: Pooling for a large-scale test collection : an analysis of the search results from the First NTCIR Workshop (2002) 0.03
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  3. Voorhees, E.M.; Harman, D.: Overview of the Sixth Text REtrieval Conference (TREC-6) (2000) 0.02
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    Date
    11. 8.2001 16:22:19
  4. Buckley, C.; Voorhees, E.M.: Retrieval evaluation with incomplete information (2004) 0.02
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    Source
    SIGIR'04: Proceedings of the 27th Annual International ACM-SIGIR Conference an Research and Development in Information Retrieval. Ed.: K. Järvelin, u.a
  5. Kwok, K.-L.: Ten years of ad hoc retrieval at TREC using PIRCS (2005) 0.02
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  6. Sparck Jones, K.: Metareflections on TREC (2005) 0.02
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  7. Fan, W.; Luo, M.; Wang, L.; Xi, W.; Fox, E.A.: Tuning before feedback : combining ranking discovery and blind feedback for robust retrieval (2004) 0.02
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    Source
    SIGIR'04: Proceedings of the 27th Annual International ACM-SIGIR Conference an Research and Development in Information Retrieval. Ed.: K. Järvelin, u.a
  8. Kazai, G.; Lalmas, M.: ¬The overlap problem in content-oriented XML retrieval evaluation (2004) 0.02
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    Source
    SIGIR'04: Proceedings of the 27th Annual International ACM-SIGIR Conference an Research and Development in Information Retrieval. Ed.: K. Järvelin, u.a
  9. Amitay, E.; Carmel, D.; Lempel, R.; Soffer, A.: Scaling IR-system evaluation using Term Relevance Sets (2004) 0.02
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    Source
    SIGIR'04: Proceedings of the 27th Annual International ACM-SIGIR Conference an Research and Development in Information Retrieval. Ed.: K. Järvelin, u.a
  10. Pirkola, A.; Järvelin, K.: Employing the resolution power of search keys (2001) 0.01
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  11. Palmquist, R.A.; Kim, K.-S.: Cognitive style and on-line database search experience as predictors of Web search performance (2000) 0.01
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  12. Beall, J.; Kafadar, K.: Measuring typographical errors' impact on retrieval in bibliographic databases (2007) 0.01
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  13. Radev, D.R.; Libner, K.; Fan, W.: Getting answers to natural language questions on the Web (2002) 0.01
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  14. Kekäläinen, J.; Järvelin, K.: Using graded relevance assessments in IR evaluation (2002) 0.01
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  15. Talvensaari, T.; Laurikkala, J.; Järvelin, K.; Juhola, M.: ¬A study on automatic creation of a comparable document collection in cross-language information retrieval (2006) 0.01
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  16. King, D.W.: Blazing new trails : in celebration of an audacious career (2000) 0.01
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    Date
    22. 9.1997 19:16:05
  17. Petrelli, D.: On the role of user-centred evaluation in the advancement of interactive information retrieval (2008) 0.01
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    Source
    Information processing and management. 44(2008) no.1, S.22-38
  18. Ruthven, I.; Lalmas, M.; Rijsbergen, K. van: Combining and selecting characteristics of information use (2002) 0.01
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  19. Lioma, C.; Ounis, I.: ¬A syntactically-based query reformulation technique for information retrieval (2008) 0.01
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    Abstract
    Whereas in language words of high frequency are generally associated with low content [Bookstein, A., & Swanson, D. (1974). Probabilistic models for automatic indexing. Journal of the American Society of Information Science, 25(5), 312-318; Damerau, F. J. (1965). An experiment in automatic indexing. American Documentation, 16, 283-289; Harter, S. P. (1974). A probabilistic approach to automatic keyword indexing. PhD thesis, University of Chicago; Sparck-Jones, K. (1972). A statistical interpretation of term specificity and its application in retrieval. Journal of Documentation, 28, 11-21; Yu, C., & Salton, G. (1976). Precision weighting - an effective automatic indexing method. Journal of the Association for Computer Machinery (ACM), 23(1), 76-88], shallow syntactic fragments of high frequency generally correspond to lexical fragments of high content [Lioma, C., & Ounis, I. (2006). Examining the content load of part of speech blocks for information retrieval. In Proceedings of the international committee on computational linguistics and the association for computational linguistics (COLING/ACL 2006), Sydney, Australia]. We implement this finding to Information Retrieval, as follows. We present a novel automatic query reformulation technique, which is based on shallow syntactic evidence induced from various language samples, and used to enhance the performance of an Information Retrieval system. Firstly, we draw shallow syntactic evidence from language samples of varying size, and compare the effect of language sample size upon retrieval performance, when using our syntactically-based query reformulation (SQR) technique. Secondly, we compare SQR to a state-of-the-art probabilistic pseudo-relevance feedback technique. Additionally, we combine both techniques and evaluate their compatibility. We evaluate our proposed technique across two standard Text REtrieval Conference (TREC) English test collections, and three statistically different weighting models. Experimental results suggest that SQR markedly enhances retrieval performance, and is at least comparable to pseudo-relevance feedback. Notably, the combination of SQR and pseudo-relevance feedback further enhances retrieval performance considerably. These collective experimental results confirm the tenet that high frequency shallow syntactic fragments correspond to content-bearing lexical fragments.
  20. Larsen, B.; Ingwersen, P.; Lund, B.: Data fusion according to the principle of polyrepresentation (2009) 0.01
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    Date
    22. 3.2009 18:48:28