Search (57 results, page 1 of 3)

  • × theme_ss:"Computerlinguistik"
  1. Hotho, A.; Bloehdorn, S.: Data Mining 2004 : Text classification by boosting weak learners based on terms and concepts (2004) 0.04
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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. Deventer, J.P. van; Kruger, C.J.; Johnson, R.D.: Delineating knowledge management through lexical analysis : a retrospective (2015) 0.02
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    Date
    20. 1.2015 18:30:22
  3. Sembok, T.M.T.; Rijsbergen, C.J. van: SILOL: a simple logical-linguistic document retrieval system (1990) 0.02
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  4. Cruys, T. van de; Moirón, B.V.: Semantics-based multiword expression extraction (2007) 0.02
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  5. Noever, D.; Ciolino, M.: ¬The Turing deception (2022) 0.02
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    Source
    https%3A%2F%2Farxiv.org%2Fabs%2F2212.06721&usg=AOvVaw3i_9pZm9y_dQWoHi6uv0EN
  6. 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
  7. Semantic role universals and argument linking : theoretical, typological, and psycholinguistic perspectives (2006) 0.01
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    Content
    Inhalt: Argument hierarchy and other factors determining argument realization / Dieter Wunderlich - Mismatches in semantic-role hierarchies and the dimensions of role semantics / Beatrice Primus - Thematic roles : universal, particular, and idiosyncratic aspects / Manfred Bierwisch - Experiencer constructions in Daghestanian languages / Bernard Comrie and Helma van den Berg - Clause-level vs. predicate-level linking / Balthasar Bickel - From meaning to syntax semantic roles and beyond / Walter Bisang - Meaning, form and function in basic case roles / Georg Bossong - Semantic macroroles and language processing / Robert D. Van Valin, Jr. - Thematic roles as event structure relations / Maria Mercedes Pinango - Generalised semantic roles and syntactic templates: Anew framework for language comprehension / Ina Bornkessel and Matthias Schlesewsky
  8. McMahon, J.G.; Smith, F.J.: Improved statistical language model performance with automatic generated word hierarchies (1996) 0.01
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    Source
    Computational linguistics. 22(1996) no.2, S.217-248
  9. Ruge, G.: ¬A spreading activation network for automatic generation of thesaurus relationships (1991) 0.01
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    Date
    8.10.2000 11:52:22
  10. Somers, H.: Example-based machine translation : Review article (1999) 0.01
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    Date
    31. 7.1996 9:22:19
  11. New tools for human translators (1997) 0.01
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    Date
    31. 7.1996 9:22:19
  12. Baayen, R.H.; Lieber, H.: Word frequency distributions and lexical semantics (1997) 0.01
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    Date
    28. 2.1999 10:48:22
  13. ¬Der Student aus dem Computer (2023) 0.01
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    Date
    27. 1.2023 16:22:55
  14. 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) 0.01
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    Date
    15. 3.2000 10:22:37
  15. Boleda, G.; Evert, S.: Multiword expressions : a pain in the neck of lexical semantics (2009) 0.01
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    Date
    1. 3.2013 14:56:22
  16. Monnerjahn, P.: Vorsprung ohne Technik : Übersetzen: Computer und Qualität (2000) 0.01
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    Source
    c't. 2000, H.22, S.230-231
  17. Blair, D.C.: Information retrieval and the philosophy of language (2002) 0.01
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    Abstract
    Information retrieval - the retrieval, primarily, of documents or textual material - is fundamentally a linguistic process. At the very least we must describe what we want and match that description with descriptions of the information that is available to us. Furthermore, when we describe what we want, we must mean something by that description. This is a deceptively simple act, but such linguistic events have been the grist for philosophical analysis since Aristotle. Although there are complexities involved in referring to authors, document types, or other categories of information retrieval context, here I wish to focus an one of the most problematic activities in information retrieval: the description of the intellectual content of information items. And even though I take information retrieval to involve the description and retrieval of written text, what I say here is applicable to any information item whose intellectual content can be described for retrieval-books, documents, images, audio clips, video clips, scientific specimens, engineering schematics, and so forth. For convenience, though, I will refer only to the description and retrieval of documents. The description of intellectual content can go wrong in many obvious ways. We may describe what we want incorrectly; we may describe it correctly but in such general terms that its description is useless for retrieval; or we may describe what we want correctly, but misinterpret the descriptions of available information, and thereby match our description of what we want incorrectly. From a linguistic point of view, we can be misunderstood in the process of retrieval in many ways. Because the philosophy of language deals specifically with how we are understood and mis-understood, it should have some use for understanding the process of description in information retrieval. First, however, let us examine more closely the kinds of misunderstandings that can occur in information retrieval. We use language in searching for information in two principal ways. We use it to describe what we want and to discriminate what we want from other information that is available to us but that we do not want. Description and discrimination together articulate the goals of the information search process; they also delineate the two principal ways in which language can fail us in this process. Van Rijsbergen (1979) was the first to make this distinction, calling them "representation" and "discrimination.""
  18. Hutchins, J.: From first conception to first demonstration : the nascent years of machine translation, 1947-1954. A chronology (1997) 0.01
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    Date
    31. 7.1996 9:22:19
  19. Kuhlmann, U.; Monnerjahn, P.: Sprache auf Knopfdruck : Sieben automatische Übersetzungsprogramme im Test (2000) 0.01
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    Source
    c't. 2000, H.22, S.220-229
  20. Lezius, W.; Rapp, R.; Wettler, M.: ¬A morphology-system and part-of-speech tagger for German (1996) 0.01
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    Date
    22. 3.2015 9:37:18

Years

Languages

  • e 40
  • d 16

Types

  • a 43
  • m 7
  • el 5
  • s 5
  • p 2
  • x 2
  • d 1
  • More… Less…