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  • × author_ss:"Ruge, G."
  • × theme_ss:"Computerlinguistik"
  1. Ruge, G.: ¬A spreading activation network for automatic generation of thesaurus relationships (1991) 0.05 
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    Date
    8.10.2000 11:52:22
    Source
    Library science with a slant to documentation. 28(1991) no.4, S.125-130
    Type
    a
  2. Ruge, G.: Sprache und Computer : Wortbedeutung und Termassoziation. Methoden zur automatischen semantischen Klassifikation (1995) 0.01 
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    Footnote
    Rez. in: Knowledge organization 22(1995) no.3/4, S.182-184 (M.T. Rolland)
  3. Ruge, G.; Schwarz, C.: Term association and computational linguistics (1991) 0.00 
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    Abstract
    Most systems for term associations are statistically based. In general they exploit term co-occurrences. A critical overview about statistical approaches in this field is given. A new approach on the basis of a linguistic analysis for large amounts of textual data is outlined
    Type
    a
  4. Ruge, G.; Schwarz, C.: Linguistically based term associations : a new semantic component for a hyperterm system (1990) 0.00 
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    Abstract
    REALIST (Retrieval Aids by Linguistics and Statistics) is a tool which supplies the user of free text information retrieval systems with information about the terms in the databases. The resulting tables of terms show term relations according to their meaning in the database and form a kind of 'road map' of the database to give the user orientation help
    Type
    a
  5. Ruge, G.: Experiments on linguistically-based term associations (1992) 0.00 
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    Abstract
    Describes the hyperterm system REALIST (REtrieval Aids by LInguistic and STatistics) and describes its semantic component. The semantic component of REALIST generates semantic term relations such synonyms. It takes as input a free text data base and generates as output term pairs that are semantically related with respect to their meanings in the data base. In the 1st step an automatic syntactic analysis provides linguistical knowledge about the terms of the data base. In the 2nd step this knowledge is compared by statistical similarity computation. Various experiments with different similarity measures are described
    Type
    a
  6. Ruge, G.; Schwarz, C.: ¬Die Leistungsfähigkeit von linguistischen Verfahren in der Massentextverarbeitung (1989) 0.00 
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    Type
    a
  7. Ruge, G.; Goeser, S.: Information Retrieval ohne Linguistik (1998) 0.00 
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    Type
    a

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