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Schrodt, R.: Tiefen und Untiefen im wissenschaftlichen Sprachgebrauch (2008)
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- Vgl. auch: https://studylibde.com/doc/13053640/richard-schrodt. Vgl. auch: http%3A%2F%2Fwww.univie.ac.at%2FGermanistik%2Fschrodt%2Fvorlesung%2Fwissenschaftssprache.doc&usg=AOvVaw1lDLDR6NFf1W0-oC9mEUJf.
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Popper, K.R.: Three worlds : the Tanner lecture on human values. Deliverd at the University of Michigan, April 7, 1978 (1978)
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Li, L.; Shang, Y.; Zhang, W.: Improvement of HITS-based algorithms on Web documents
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- Footnote
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- Footnote
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Vetere, G.; Lenzerini, M.: Models for semantic interoperability in service-oriented architectures (2005)
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- Vgl.: http://ieeexplore.ieee.org/Xplore/login.jsp?reload=true&url=http%3A%2F%2Fieeexplore.ieee.org%2Fiel5%2F4755313%2F4755314%2F04755480.pdf%3Farnumber%3D4755480&authDecision=-203.
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Noever, D.; Ciolino, M.: ¬The Turing deception (2022)
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- Source
- Technik und Information: Markt, Medien und Methoden. Deutscher Dokumentartag 1992, Technische Universität Berlin, 22.-25.9.1992. Hrsg.: W. Neubauer u. K.-H. Meier
-
Zhang, L.; Pan, Y.; Zhang, T.: Focused named entity recognition using machine learning (2004)
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- Date
- 15.10.2005 19:57:22
- Source
- SIGIR'04: Proceedings of the 27th Annual International ACM-SIGIR Conference an Research and Development in Information Retrieval. Ed.: K. Järvelin, u.a
-
Deider, C.: Was kostet Surfen im Internet via T-Online? (1996)
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- Date
- 22. 4.1996 20:07:57
- Object
- T-Online
-
Winograd, T.: ¬Ein prozedurales Modell des Sprachverstehens (1977)
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- Source
- Semantik und künstliche Intelligenz: Beiträge zur automatischen Sprachbearbeitung II. Hrsg. u. eingeleitet von P. Eisenberg
-
Efron, M.; Winget, M.: Query polyrepresentation for ranking retrieval systems without relevance judgments (2010)
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- Abstract
- Ranking information retrieval (IR) systems with respect to their effectiveness is a crucial operation during IR evaluation, as well as during data fusion. This article offers a novel method of approaching the system-ranking problem, based on the widely studied idea of polyrepresentation. The principle of polyrepresentation suggests that a single information need can be represented by many query articulations-what we call query aspects. By skimming the top k (where k is small) documents retrieved by a single system for multiple query aspects, we collect a set of documents that are likely to be relevant to a given test topic. Labeling these skimmed documents as putatively relevant lets us build pseudorelevance judgments without undue human intervention. We report experiments where using these pseudorelevance judgments delivers a rank ordering of IR systems that correlates highly with rankings based on human relevance judgments.
- Source
- Journal of the American Society for Information Science and Technology. 61(2010) no.6, S.1081-1091
-
Steele, R.; Min, K.; Lo, A.: Personal health record architectures : technology infrastructure implications and dependencies (2012)
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- Source
- Journal of the American Society for Information Science and Technology. 63(2012) no.6, S.1079-1091