Search (6 results, page 1 of 1)

  • × author_ss:"Ruge, G."
  • × theme_ss:"Computerlinguistik"
  • × year_i:[1990 TO 2000}
  1. Ruge, G.: Sprache und Computer : Wortbedeutung und Termassoziation. Methoden zur automatischen semantischen Klassifikation (1995) 0.03
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    Footnote
    Rez. in: Knowledge organization 22(1995) no.3/4, S.182-184 (M.T. Rolland)
    Series
    Sprache und Computer; Bd.14
  2. Ruge, G.; Goeser, S.: Information Retrieval ohne Linguistik (1998) 0.01
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    Abstract
    Natürlicherweise sollte man erwarten, daß linguistische Textanalyseverfahren die Effektivität und Benutzerfreundlichkeit von Information Retrieval Systemen verbessern, da sowohl Dokumente als auch Suchanfragen die interessierenden Inhalte linguistisch enkodieren. Ein Retrievalabgleich auf der Ebene der linguistischen Inhaltsdarstellung müßte demzufolge zu besseren Retrievalsystemen führen als ein Abgleich auf Wort- oder gar Zeichenebene. Tatsächlich aber ist immer noch weitgehend unklar, inwieweit linguistische Textanalyseverfahren Retrievalsysteme verbessern können. Evaluationen von Retrievalsystemen mit linguistischen Komponenten führen nach wie vor zu unterschiedlichen, teils gegenläufigen Ergebnissen, obwohl die dazu erforderliche Computerlinguistik große Fortschritte gemacht hat. Wir gehen der Frage nach, wie es zu diesen kontraintuitiven Ergenissen kommt. Dazu wird der Stand der Kunst im linguistischen IR zusammengefaßt, so daß die Ergebnisse anhand des Vergleich verschiedener Evaluierungen diskutiert werden können.
    Footnote
    Vgl. auch die Erwiderung: Ladewig, C.: 'Information Retrieval ohne Linguistik?' in: nfd 49(1998) H.8, S.476-478
    Source
    nfd Information - Wissenschaft und Praxis. 49(1998) H.6, S.361-369
  3. 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
  4. 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
  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
  6. 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
    Series
    Advances in knowledge organization; vol.1

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