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Fuhr, N.; Niewelt, B.: ¬Ein Retrievaltest mit automatisch indexierten Dokumenten (1984)
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- 20.10.2000 12:22:23
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Biebricher, N.; Fuhr, N.; Lustig, G.; Schwantner, M.; Knorz, G.: ¬The automatic indexing system AIR/PHYS : from research to application (1988)
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- 16. 8.1998 12:51:22
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Fuhr, N.: Ranking-Experimente mit gewichteter Indexierung (1986)
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- 14. 6.2015 22:12:44
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Fuhr, N.: Rankingexperimente mit gewichteter Indexierung (1986)
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- Date
- 14. 6.2015 22:12:56
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Jardine, N.; Rijsbergen, C.J. van: ¬The use of hierarchic clustering in information retrieval (1971)
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-
Garfield, E.; Sager, N.: Mechanical indexing, structural linguistics and information retrieval (1993)
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Pfeifer, U.: Entwicklung linear-iterativer und logistischer Indexierungsfunktionen (1991)
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- Source
- Information retrieval: GI/GMD-Workshop, Darmstadt, 23.-24.6.1991: Proceedings. Ed.: N. Fuhr
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Fuhr, N.; Knorz, G.: Retrieval test evaluation of a rule based automatic indexing (AIR/PHYS) (1984)
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-
Voorhees, E.M.: Implementing agglomerative hierarchic clustering algorithms for use in document retrieval (1986)
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- Source
- Information processing and management. 22(1986) no.6, S.465-476
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Biebricher, P.; Fuhr, N.; Lustig, G.; Schwantner, M.; Knorz, G.: ¬Das automatische Indexierungssystem AIR/PHYS (1988)
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-
Biebricher, P.; Fuhr, N.; Niewelt, B.: ¬Der AIR-Retrievaltest (1986)
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-
Hlava, M.M.K.: Automatic indexing : comparing rule-based and statistics-based indexing systems (2005)
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- Source
- Information outlook. 9(2005) no.8, S.22-23
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Faraj, N.: Analyse d'une methode d'indexation automatique basée sur une analyse syntaxique de texte (1996)
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-
Biebricher, P.; Fuhr, N.; Knorz, G.; Lustig, G.; Schwandtner, M.: Entwicklung und Anwendung des automatischen Indexierungssystems AIR/PHYS (1988)
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-
Fuhr, N.: Klassifikationsverfahren bei der automatischen Indexierung (1983)
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-
Hauer, M.: Automatische Indexierung (2000)
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- Source
- Wissen in Aktion: Wege des Knowledge Managements. 22. Online-Tagung der DGI, Frankfurt am Main, 2.-4.5.2000. Proceedings. Hrsg.: R. Schmidt
-
Hauer, M.: Tiefenindexierung im Bibliothekskatalog : 17 Jahre intelligentCAPTURE (2019)
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- B.I.T.online. 22(2019) H.2, S.163-166
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Dolamic, L.; Savoy, J.: Indexing and searching strategies for the Russian language (2009)
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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.
-
Cohen, J.D.: Highlights: language- and domain-independent automatic indexing terms for abstracting (1995)
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- Abstract
- Presents a model of drawing index terms from text. The approach uses no stop list, stemmer, or other language and domain specific component, allowing operation in any language or domain with only trivial modification. The method uses n-grams counts, achieving a function similar to, but more general than, a stemmer. The generated index terms, called 'highlights', are suitable for identifying the topic for perusal and selection. An extension is also described and demonstrated which selects index terms to represent a subset of documents, distinguishing them from the corpus. Presents some experimental results, showing operation in English, Spanish, German, Georgian, Russian and Japanese
-
Pfeifer, U.; Fuhr, N.; Huynh, T.: Searching structured documents with the enhanced retrieval functionality of freeWAIS-sf and SFgate (1995)
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