Search (47 results, page 1 of 3)

  • × language_ss:"e"
  • × theme_ss:"Computerlinguistik"
  1. Hotho, A.; Bloehdorn, S.: Data Mining 2004 : Text classification by boosting weak learners based on terms and concepts (2004) 0.07
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    Content
    Vgl.: http://www.google.de/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&cad=rja&ved=0CEAQFjAA&url=http%3A%2F%2Fciteseerx.ist.psu.edu%2Fviewdoc%2Fdownload%3Fdoi%3D10.1.1.91.4940%26rep%3Drep1%26type%3Dpdf&ei=dOXrUMeIDYHDtQahsIGACg&usg=AFQjCNHFWVh6gNPvnOrOS9R3rkrXCNVD-A&sig2=5I2F5evRfMnsttSgFF9g7Q&bvm=bv.1357316858,d.Yms.
    Date
    8. 1.2013 10:22:32
  2. Melucci, M.; Orio, N.: Design, implementation, and evaluation of a methodology for automatic stemmer generation (2007) 0.03
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    Source
    Journal of the American Society for Information Science and Technology. 58(2007) no.5, S.673-686
    Year
    2007
  3. Noever, D.; Ciolino, M.: ¬The Turing deception (2022) 0.03
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    Source
    https%3A%2F%2Farxiv.org%2Fabs%2F2212.06721&usg=AOvVaw3i_9pZm9y_dQWoHi6uv0EN
  4. Warner, A.J.: Natural language processing (1987) 0.02
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    Source
    Annual review of information science and technology. 22(1987), S.79-108
  5. Warner, J.: Linguistics and information theory : analytic advantages (2007) 0.02
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    Source
    Journal of the American Society for Information Science and Technology. 58(2007) no.2, S.275-285
    Year
    2007
  6. Argamon, S.; Whitelaw, C.; Chase, P.; Hota, S.R.; Garg, N.; Levitan, S.: Stylistic text classification using functional lexical features (2007) 0.02
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    Source
    Journal of the American Society for Information Science and Technology. 58(2007) no.6, S.802-822
    Year
    2007
  7. Santana Suárez, O.; Carreras Riudavets, F.J.; Hernández Figueroa, Z.; González Cabrera, A.C.: Integration of an XML electronic dictionary with linguistic tools for natural language processing (2007) 0.02
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    Source
    Information processing and management. 43(2007) no.4, S.946-957
    Year
    2007
  8. Niemi, T.; Jämsen, J.: ¬A query language for discovering semantic associations, part II : sample queries and query evaluation (2007) 0.02
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    Abstract
    In our query language introduced in Part I (Journal of the American Society for Information Science and Technology. 58(2007) no.11, S.1559-1568) the user can formulate queries to find out (possibly complex) semantic relationships among entities. In this article we demonstrate the usage of our query language and discuss the new applications that it supports. We categorize several query types and give sample queries. The query types are categorized based on whether the entities specified in a query are known or unknown to the user in advance, and whether text information in documents is utilized. Natural language is used to represent the results of queries in order to facilitate correct interpretation by the user. We discuss briefly the issues related to the prototype implementation of the query language and show that an independent operation like Rho (Sheth et al., 2005; Anyanwu & Sheth, 2002, 2003), which presupposes entities of interest to be known in advance, is exceedingly inefficient in emulating the behavior of our query language. The discussion also covers potential problems, and challenges for future work.
    Source
    Journal of the American Society for Information Science and Technology. 58(2007) no.11, S.1686-1700
    Year
    2007
  9. Niemi, T.; Jämsen , J.: ¬A query language for discovering semantic associations, part I : approach and formal definition of query primitives (2007) 0.02
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    Content
    Part II: Journal of the American Society for Information Science and Technology. 58(2007) no.11, S.1686-1700.
    Source
    Journal of the American Society for Information Science and Technology. 58(2007) no.11, S.1559-1568
    Year
    2007
  10. McMahon, J.G.; Smith, F.J.: Improved statistical language model performance with automatic generated word hierarchies (1996) 0.02
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    Source
    Computational linguistics. 22(1996) no.2, S.217-248
  11. Ruge, G.: ¬A spreading activation network for automatic generation of thesaurus relationships (1991) 0.02
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    Date
    8.10.2000 11:52:22
  12. Somers, H.: Example-based machine translation : Review article (1999) 0.02
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    Date
    31. 7.1996 9:22:19
  13. New tools for human translators (1997) 0.02
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    Date
    31. 7.1996 9:22:19
  14. Baayen, R.H.; Lieber, H.: Word frequency distributions and lexical semantics (1997) 0.02
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    Date
    28. 2.1999 10:48:22
  15. Warner, J.: Analogies between linguistics and information theory (2007) 0.02
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    Source
    Journal of the American Society for Information Science and Technology. 58(2007) no.3, S.309-321
    Year
    2007
  16. Wang, F.L.; Yang, C.C.: Mining Web data for Chinese segmentation (2007) 0.02
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    Source
    Journal of the American Society for Information Science and Technology. 58(2007) no.12, S.1820-1837
    Year
    2007
  17. Peng, F.; Huang, X.: Machine learning for Asian language text classification (2007) 0.02
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    Source
    Journal of documentation. 63(2007) no.3, S.378-397
    Year
    2007
  18. Ahlgren, P.; Kekäläinen, J.: Indexing strategies for Swedish full text retrieval under different user scenarios (2007) 0.02
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    Source
    Information processing and management. 43(2007) no.1, S.81-102
    Year
    2007
  19. Kishida, K.: Term disambiguation techniques based on target document collection for cross-language information retrieval : an empirical comparison of performance between techniques (2007) 0.02
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    Source
    Information processing and management. 43(2007) no.1, S.103-120
    Year
    2007
  20. Byrne, C.C.; McCracken, S.A.: ¬An adaptive thesaurus employing semantic distance, relational inheritance and nominal compound interpretation for linguistic support of information retrieval (1999) 0.02
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    Date
    15. 3.2000 10:22:37

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