Search (99 results, page 1 of 5)

  • × theme_ss:"Automatisches Indexieren"
  • × type_ss:"a"
  1. Fuhr, N.; Niewelt, B.: ¬Ein Retrievaltest mit automatisch indexierten Dokumenten (1984) 0.07
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    Date
    20.10.2000 12:22:23
  2. Biebricher, N.; Fuhr, N.; Lustig, G.; Schwantner, M.; Knorz, G.: ¬The automatic indexing system AIR/PHYS : from research to application (1988) 0.06
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    Date
    16. 8.1998 12:51:22
  3. Fuhr, N.: Ranking-Experimente mit gewichteter Indexierung (1986) 0.06
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    Date
    14. 6.2015 22:12:44
  4. Fuhr, N.: Rankingexperimente mit gewichteter Indexierung (1986) 0.06
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    Date
    14. 6.2015 22:12:56
  5. Kutschekmanesch, S.; Lutes, B.; Moelle, K.; Thiel, U.; Tzeras, K.: Automated multilingual indexing : a synthesis of rule-based and thesaurus-based methods (1998) 0.04
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    Source
    Information und Märkte: 50. Deutscher Dokumentartag 1998, Kongreß der Deutschen Gesellschaft für Dokumentation e.V. (DGD), Rheinische Friedrich-Wilhelms-Universität Bonn, 22.-24. September 1998. Hrsg. von Marlies Ockenfeld u. Gerhard J. Mantwill
  6. Stankovic, R. et al.: Indexing of textual databases based on lexical resources : a case study for Serbian (2016) 0.04
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    Date
    1. 2.2016 18:25:22
    Source
    Semantic keyword-based search on structured data sources: First COST Action IC1302 International KEYSTONE Conference, IKC 2015, Coimbra, Portugal, September 8-9, 2015. Revised Selected Papers. Eds.: J. Cardoso et al
  7. Dolamic, L.; Savoy, J.: Indexing and searching strategies for the Russian language (2009) 0.03
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    Abstract
    This paper describes and evaluates various stemming and indexing strategies for the Russian language. We design and evaluate two stemming approaches, a light and a more aggressive one, and compare these stemmers to the Snowball stemmer, to no stemming, and also to a language-independent approach (n-gram). To evaluate the suggested stemming strategies we apply various probabilistic information retrieval (IR) models, including the Okapi, the Divergence from Randomness (DFR), a statistical language model (LM), as well as two vector-space approaches, namely, the classical tf idf scheme and the dtu-dtn model. We find that the vector-space dtu-dtn and the DFR models tend to result in better retrieval effectiveness than the Okapi, LM, or tf idf models, while only the latter two IR approaches result in statistically significant performance differences. Ignoring stemming generally reduces the MAP by more than 50%, and these differences are always significant. When applying an n-gram approach, performance differences are usually lower than an approach involving stemming. Finally, our light stemmer tends to perform best, although performance differences between the light, aggressive, and Snowball stemmers are not statistically significant.
  8. Tsujii, J.-I.: Automatic acquisition of semantic collocation from corpora (1995) 0.03
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    Date
    31. 7.1996 9:22:19
  9. Lepsky, K.; Vorhauer, J.: Lingo - ein open source System für die Automatische Indexierung deutschsprachiger Dokumente (2006) 0.03
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    Date
    24. 3.2006 12:22:02
  10. Probst, M.; Mittelbach, J.: Maschinelle Indexierung in der Sacherschließung wissenschaftlicher Bibliotheken (2006) 0.03
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    Date
    22. 3.2008 12:35:19
  11. Jardine, N.; Rijsbergen, C.J. van: ¬The use of hierarchic clustering in information retrieval (1971) 0.02
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  12. Garfield, E.; Sager, N.: Mechanical indexing, structural linguistics and information retrieval (1993) 0.02
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  13. Pfeifer, U.: Entwicklung linear-iterativer und logistischer Indexierungsfunktionen (1991) 0.02
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    Source
    Information retrieval: GI/GMD-Workshop, Darmstadt, 23.-24.6.1991: Proceedings. Ed.: N. Fuhr
  14. Fuhr, N.; Knorz, G.: Retrieval test evaluation of a rule based automatic indexing (AIR/PHYS) (1984) 0.02
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  15. Voorhees, E.M.: Implementing agglomerative hierarchic clustering algorithms for use in document retrieval (1986) 0.02
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    Source
    Information processing and management. 22(1986) no.6, S.465-476
  16. Biebricher, P.; Fuhr, N.; Lustig, G.; Schwantner, M.; Knorz, G.: ¬Das automatische Indexierungssystem AIR/PHYS (1988) 0.02
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  17. Biebricher, P.; Fuhr, N.; Niewelt, B.: ¬Der AIR-Retrievaltest (1986) 0.02
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  18. Hlava, M.M.K.: Automatic indexing : comparing rule-based and statistics-based indexing systems (2005) 0.01
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    Information outlook. 9(2005) no.8, S.22-23
  19. Lepsky, K.: Vom OPAC zum Hyperkatalog : Daten und Indexierung (1996) 0.01
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    Erschließen, Suchen, Finden: Vorträge aus den bibliothekarischen Arbeitsgruppen der 19. und 20. Jahrestagungen (Basel 1995 / Freiburg 1996) der Gesellschaft für Klassifikation. Hrsg.: H.-J. Hermes u. H.-J. Wätjen
  20. Panyr, J.: STEINADLER: ein Verfahren zur automatischen Deskribierung und zur automatischen thematischen Klassifikation (1978) 0.01
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