Search (23 results, page 1 of 2)

  • × language_ss:"e"
  • × theme_ss:"Retrievalstudien"
  • × type_ss:"a"
  • × year_i:[2000 TO 2010}
  1. Allan, J.; Croft, W.B.; Callan, J.: ¬The University of Massachusetts and a dozen TRECs (2005) 0.02
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  2. Robertson, S.; Callan, J.: Routing and filtering (2005) 0.02
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  3. Blandford, A.; Adams, A.; Attfield, S.; Buchanan, G.; Gow, J.; Makri, S.; Rimmer, J.; Warwick, C.: ¬The PRET A Rapporter framework : evaluating digital libraries from the perspective of information work (2008) 0.01
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  4. Bar-Ilan, J.: Methods for measuring search engine performance over time (2002) 0.01
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  5. Tague-Sutcliffe, J.: Information retrieval experimentation (2009) 0.01
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  6. Savoy, J.: Bibliographic database access using free-text and controlled vocabulary : an evaluation (2005) 0.01
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  7. Bar-Ilan, J.: ¬The Web as an information source on informetrics? : A content analysis (2000) 0.01
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  8. Serrano Cobos, J.; Quintero Orta, A.: Design, development and management of an information recovery system for an Internet Website : from documentary theory to practice (2003) 0.01
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  9. Beall, J.; Kafadar, K.: Measuring typographical errors' impact on retrieval in bibliographic databases (2007) 0.01
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  10. Savoy , J.: Cross-language information retrieval : experiments based an CLEF 2000 corpora (2003) 0.01
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  11. López-Ostenero, F.; Peinado, V.; Gonzalo, J.; Verdejo, F.: Interactive question answering : Is Cross-Language harder than monolingual searching? (2008) 0.01
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  12. Rokaya, M.; Atlam, E.; Fuketa, M.; Dorji, T.C.; Aoe, J.-i.: Ranking of field association terms using Co-word analysis (2008) 0.01
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  13. Abdou, S.; Savoy, J.: Searching in Medline : query expansion and manual indexing evaluation (2008) 0.01
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  14. Huang, M.-h.; Wang, H.-y.: ¬The influence of document presentation order and number of documents judged an users' judgments of relevance (2004) 0.01
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  15. Hansen, P.; Karlgren, J.: Effects of foreign language and task scenario on relevance assessment (2005) 0.01
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  16. Kekäläinen, J.; Järvelin, K.: Using graded relevance assessments in IR evaluation (2002) 0.01
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  17. 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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  18. 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.
  19. Voorhees, E.M.; Harman, D.: Overview of the Sixth Text REtrieval Conference (TREC-6) (2000) 0.00
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    Date
    11. 8.2001 16:22:19
  20. Leininger, K.: Interindexer consistency in PsychINFO (2000) 0.00
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    Date
    9. 2.1997 18:44:22