Search (1049 results, page 2 of 53)

  • × language_ss:"e"
  • × year_i:[2000 TO 2010}
  1. Leydesdorff, L.: Can networks of journal-journal citations be used as indicators of change in the social sciences? (2003) 0.04
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    Date
    6.11.2005 19:02:22
  2. Andresen, L.: After MARC - what then? (2004) 0.04
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    Source
    Library hi tech. 22(2004) no.1, S.40-51
  3. Toldo, L.; Rippmann, F.: Integrated bioinformatics application for automated target discovery. (2005) 0.04
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    Date
    22. 7.2006 14:31:06
  4. Chen, L.; Zeng, J.; Tokuda, N.: ¬A "stereo" document representation for textual information retrieval (2006) 0.04
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    Date
    22. 7.2006 17:33:43
  5. Vanderwende, L.; Suzuki, H.; Brockett, J.M.; Nenkova, A.: Beyond SumBasic : task-focused summarization with sentence simplification and lexical expansion (2007) 0.04
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    Abstract
    In recent years, there has been increased interest in topic-focused multi-document summarization. In this task, automatic summaries are produced in response to a specific information request, or topic, stated by the user. The system we have designed to accomplish this task comprises four main components: a generic extractive summarization system, a topic-focusing component, sentence simplification, and lexical expansion of topic words. This paper details each of these components, together with experiments designed to quantify their individual contributions. We include an analysis of our results on two large datasets commonly used to evaluate task-focused summarization, the DUC2005 and DUC2006 datasets, using automatic metrics. Additionally, we include an analysis of our results on the DUC2006 task according to human evaluation metrics. In the human evaluation of system summaries compared to human summaries, i.e., the Pyramid method, our system ranked first out of 22 systems in terms of overall mean Pyramid score; and in the human evaluation of summary responsiveness to the topic, our system ranked third out of 35 systems.
  6. Gendt, M. van; Isaac, I.; Meij, L. van der; Schlobach, S.: Semantic Web techniques for multiple views on heterogeneous collections : a case study (2006) 0.04
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    Source
    Research and advanced technology for digital libraries : 10th European conference, proceedings / ECDL 2006, Alicante, Spain, September 17 - 22, 2006
  7. Liu, R.-L.: Context recognition for hierarchical text classification (2009) 0.04
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    Date
    22. 3.2009 19:11:54
  8. Leydesdorff, L.; Sun, Y.: National and international dimensions of the Triple Helix in Japan : university-industry-government versus international coauthorship relations (2009) 0.04
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    Date
    22. 3.2009 19:07:20
  9. Wu, I.-L.; Lin, H.-C.: ¬A strategy-based process for implementing knowledge management : an integrative view and empirical study (2009) 0.04
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    Date
    22. 3.2009 19:08:51
  10. Park, J.-r.; Lu, C.; Marion, L.: Cataloging professionals in the digital environment : a content analysis of job descriptions (2009) 0.04
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    Date
    22. 3.2009 19:20:24
  11. He, Z.-L.: International collaboration does not have greater epistemic authority (2009) 0.04
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    Date
    26. 9.2009 11:22:05
  12. Limberg, L.; Alexandersson, M.: Learning and information seeking (2009) 0.04
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    Date
    27. 8.2011 14:22:22
  13. Smith, L.: Subject access in interdisciplinary research (2000) 0.04
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    Date
    22. 9.1997 19:16:05
  14. Rosenfeld, L.; Morville, P.: Information architecture for the World Wide Web : designing large-scale Web sites (2007) 0.04
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    Date
    22. 3.2008 16:18:27
  15. Ku, L.-W.; Ho, H.-W.; Chen, H.-H.: Opinion mining and relationship discovery using CopeOpi opinion analysis system (2009) 0.04
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    Abstract
    We present CopeOpi, an opinion-analysis system, which extracts from the Web opinions about specific targets, summarizes the polarity and strength of these opinions, and tracks opinion variations over time. Objects that yield similar opinion tendencies over a certain time period may be correlated due to the latent causal events. CopeOpi discovers relationships among objects based on their opinion-tracking plots and collocations. Event bursts are detected from the tracking plots, and the strength of opinion relationships is determined by the coverage of these plots. To evaluate opinion mining, we use the NTCIR corpus annotated with opinion information at sentence and document levels. CopeOpi achieves sentence- and document-level f-measures of 62% and 74%. For relationship discovery, we collected 1.3M economics-related documents from 93 Web sources over 22 months, and analyzed collocation-based, opinion-based, and hybrid models. We consider as correlated company pairs that demonstrate similar stock-price variations, and selected these as the gold standard for evaluation. Results show that opinion-based and collocation-based models complement each other, and that integrated models perform the best. The top 25, 50, and 100 pairs discovered achieve precision rates of 1, 0.92, and 0.79, respectively.
  16. Hawking, D.; Robertson, S.: On collection size and retrieval effectiveness (2003) 0.03
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    Date
    14. 8.2005 14:22:22
  17. Buzydlowski, J.W.; White, H.D.; Lin, X.: Term Co-occurrence Analysis as an Interface for Digital Libraries (2002) 0.03
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    Date
    22. 2.2003 17:25:39
    22. 2.2003 18:16:22
  18. Press, L.; Foster, W.; Wolcott, P.; McHenry, W.: ¬The Internet in India and China (2002) 0.03
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  19. Gluck, M.; Yu, L.: Geographic information systems : Background, frameworks and uses in libraries (2000) 0.03
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  20. Hawkins, L.: Refinement of cataloging tools (2000) 0.03
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