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Perez, E.: Text enhancement : Controlled vocabulary vs. free text (1982) 0.01

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Abstract: Full-text databases are becoming increasingly practical for publication and general use, since most publishers now use some form of computerized editorial and publication system. "Free text" retrieval from full-text databases is possible with many existing systems, but some information professionals are doubtful about the quality of information retrieval using this type of access. The "augmentation" or "enrichment" needed for practical operation of these systems is discussed

Wacholder, N.; Byrd, R.J.: Retrieving information from full text using linguistic knowledge (1994) 0.01
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Abstract

Examines how techniques in the field of natural language processing can be applied to the analysis of text in information retrieval. State of the art text searching programs cannot distinguish, for example, between occurrences of the sickness, AIDS and aids as tool or between library school and school nor equate such terms as online or on-line which are variants of the same form. To make these distinction, systems must incorporate knowledge about the meaning of words in context. Research in natural language processing has concentrated on the automatic 'understanding' of language; how to analyze the grammatical structure and meaning of text. Although many asoects of this research remain experimental, describes how these techniques to recognize spelling variants, names, acronyms, and abbreviations

Laegreid, J.A.: SIFT: a Norwegian information retrieval system (1993) 0.01

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Date: 23. 1.1999 19:22:09

Sievert, M.E.; McKinin, E.J.: Why full-text misses some relevant documents : an analysis of documents not retrieved by CCML or MEDIS (1989) 0.01

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Date: 9. 1.1996 10:22:31

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