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Hotho, A.; Bloehdorn, S.: Data Mining 2004 : Text classification by boosting weak learners based on terms and concepts (2004)
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Sidhom, S.; Hassoun, M.: Morpho-syntactic parsing to text mining environment : NP recognition model to knowledge visualization and information (2003)
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Figuerola, C.G.; Gomez, R.; Lopez de San Roman, E.: Stemming and n-grams in Spanish : an evaluation of their impact in information retrieval (2000)
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- Annual review of information science and technology. 22(1987), S.79-108
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Noever, D.; Ciolino, M.: ¬The Turing deception (2022)
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McMahon, J.G.; Smith, F.J.: Improved statistical language model performance with automatic generated word hierarchies (1996)
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- Computational linguistics. 22(1996) no.2, S.217-248
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Ruge, G.: ¬A spreading activation network for automatic generation of thesaurus relationships (1991)
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Somers, H.: Example-based machine translation : Review article (1999)
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- Date
- 31. 7.1996 9:22:19
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New tools for human translators (1997)
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Baayen, R.H.; Lieber, H.: Word frequency distributions and lexical semantics (1997)
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- 28. 2.1999 10:48:22
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Schmolz, H.: Anaphora resolution and text retrieval : a lnguistic analysis of hypertexts (2015)
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- Imprint
- Berlin : De Gruyter Mouton
- Language
- e
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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)
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- 15. 3.2000 10:22:37
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- e
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Boleda, G.; Evert, S.: Multiword expressions : a pain in the neck of lexical semantics (2009)
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- Date
- 1. 3.2013 14:56:22
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Sabah, G.: Knowledge representation and natural language understanding (1993)
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- Abstract
- Describes the basic artificial intelligence techniques in linguistic knowledge processing which attempts to get machines to understand natural languages. Focusses on how computing techniques can model the communication process. Briefly examines the theoretical and practical importance of this field. Introduces a sample of theories used to represent linguistic knowledge. Present semantic representations (various logics and semantic networks) and examines pragmatic aspects of communication (of discourse analysis). Describes parsing systems. Addresses architectural issues. Shows why Distributed Artificial Intelligence and reflective systems offers the best framework taking examples from the CARAMEL (Comprehension Automatique de Recites, Apprentissage et Modelisation des Exchanges langagiers)
- Language
- e
-
Collard, J.; Paiva, V. de; Fong, B.; Subrahmanian, E.: Extracting mathematical concepts from text (2022)
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Hutchins, J.: From first conception to first demonstration : the nascent years of machine translation, 1947-1954. A chronology (1997)
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Riloff, E.: ¬An empirical study of automated dictionary construction for information extraction in three domains (1996)
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Paolillo, J.C.: Linguistics and the information sciences (2009)
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- Digital unter: http://dx.doi.org/10.1081/E-ELIS3-120044491. Vgl.: http://www.tandfonline.com/doi/book/10.1081/E-ELIS3.
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