Diese Datenbank enthält über 40.000 Dokumente zu Themen aus den Bereichen Formalerschließung – Inhaltserschließung – Information Retrieval.
© 2015 W. Gödert, TH Köln, Institut für Informationswissenschaft / Powered by litecat, BIS Oldenburg (Stand: 04. Juni 2021)
3Buckley, C. ; Voorhees, E.M.: Retrieval evaluation with incomplete information.
In: SIGIR'04: Proceedings of the 27th Annual International ACM-SIGIR Conference an Research and Development in Information Retrieval. Ed.: K. Järvelin, u.a. New York, NY : ACM Press, 2004. S.25-32.
4Singhal, A. ; Buckley, C. ; Mitra, M.: Using query zoning and correlation with SMART : TREC 5.
In: The Fifth Text Retrieval Conference (TREC-5). Ed.: E.M. Voorhees u. D.K. Harman. Gaithersburgh, MD : National Institute of Standards and Technology, 1997. S.25-48.
(NIST special publication;)
5Buckley, C. ; Singhal, A. ; Mitra, M. ; Salton, G.: New retrieval approaches using SMART : TREC 4.
In: The Fourth Text Retrieval Conference (TREC-4). Ed.: K. Harman. Gaithersburgh, MD : National Institute of Standards and Technology, 1996. S.25-48.
(NIST special publication; 500-236)
Objekt: SMART ; TREC
6Buckley, C. ; Allan, J. ; Salton, G.: Automatic routing and retrieval using Smart : TREC-2.
In: Information processing and management. 31(1995) no.3, S.315-326.
Abstract: The Smart information retrieval project emphazises completely automatic approaches to the understanding and retrieval of large quantities of text. The work in the TREC-2 environment continues, performing both routing and ad hoc experiments. The ad hoc work extends investigations into combining global similarities, giving an overall indication of how a document matches a query, with local similarities identifying a smaller part of the document that matches the query. The performance of ad hoc runs is good, but it is clear that full advantage of the available local information is not been taken advantage of. The routing experiments use conventional relevance feedback approaches to routing, but with a much greater degree of query expansion than was previously done. The length of a query vector is increased by a factor of 5 to 10 by adding terms found in previously seen relevant documents. This approach improves effectiveness by 30-40% over the original query
Themenfeld: Automatisches Indexieren ; Retrievalstudien ; Semantisches Umfeld in Indexierung u. Retrieval
Objekt: Smart ; TREC
8Salton, G. ; Allan, J. ; Buckley, C. ; Singhal, A.: Automatic analysis, theme generation, and summarization of machine readable texts.
In: Science. 264(1994), S.1421-1426.
Anmerkung: Wiederabgedruckt in: Readings in information retrieval. Ed.: K. Sparck Jones u. P. Willett. San Francisco: Morgan Kaufmann 1997. S.478-483.
Themenfeld: Automatisches Indexieren ; Automatisches Abstracting
9Salton, G. ; Buckley, C. ; Allan, J.: Automatic structuring of text files.
In: Electronic publishing. 5(1992) no.1, S.1-17.
Abstract: In many practical information retrieval situations, it is necessary to process heterogeneous text databases that vary greatly in scope and coverage and deal with many different subjects. In such an environment it is important to provide flexible access to individual text pieces and to structure the collection so that related text elements are identified and properly linked. Describes methods for the automatic structuring of heterogeneous text collections and the construction of browsing tools and access procedures that facilitate collection use. Illustrates these emthods with searches using a large automated encyclopedia
Themenfeld: Automatisches Indexieren
10Wong, S.K.M. ; Yao, Y.Y. ; Salton, G. ; Buckley, C.: Evaluation of an adaptive linear model.
In: Journal of the American Society for Information Science. 42(1991) no.10, S.723-730.
Abstract: Reports on the experimental evaluation of an adaptive linear model that constructs improved user query vectors from user preference judgements on a sample set of documents. The performance of this method is compared with that of the standard relevance feedback techniques. The experimental results seem to demonstrate the effectiveness of the adaptive method
11Salton, G. ; Buckley, C.: Approaches to global text analysis.
In: ASIS'90: Information in the year 2000, from research to applications. Proc. of the 53rd Annual Meeting of the American Society for Information Science, Toronto, Canada, 4.-8.11.1990. Ed. by Diana Henderson. Medford, NJ : Learned Information Inc., 1990. S.228-233.
Abstract: Current approaches to the analysis of natural language text are not viable for documents of unrestricted scope. A global text analysis system is proposed designed to identify homogeneous text environments in which the meaning of text words and phrases remains unambiguous, and useful term relationships may be automatically determined. The proposed methods include document clustering methods, as well as comparisons of local document excerpts in specified global contexts, leading to structured text representations in which similar texts, or text excerpts, are appropriately linked
Themenfeld: Automatisches Indexieren
12Salton, G. ; Buckley, C.: Improving retrieval performance by relevance feedback.
In: Journal of the American Society for Information Science. 41(1990) no.4, S.288-297.
Abstract: Relevance feedback is an automatic process, introduced over 20 years ago, designed to produce improved query formulations following an initial retrieval operation. The principal relevance feedback methods described over the years are examined briefly, and evaluation data are included to demonstrate the effectiveness of the various methods. Prescriptions are given for conducting text retrieval operations iteratively using relevance feedback
15Salton, G. ; Buckley, C.: Term-weighting approaches in automatic text retrieval.
In: Information processing and management. 24(1988) no.5, S.513-523.
Anmerkung: Wiederabgedruckt in: Readings in information retrieval. Ed.: K. Sparck Jones u. P. Willett. San Francisco: Morgan Kaufmann 1997. S.323-328.