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Paice, C.D.: Automatic abstracting (1994) 0.08

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Abstract: The final report of the 2nd British Library abstracting project (the BLAB project), 1990-1992, which was carried out partly at the Computing Department of Lancaster University, and partly at the Centre for Computational Linguistics, UMIST. This project built on the results of the first project, of 1985-1987, to build a system designed create abstracts automatically from given texts
Imprint: London : British Library

Goh, A.; Hui, S.C.: TES: a text extraction system (1996) 0.05

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Abstract: With the onset of the information explosion arising from digital libraries and access to a wealth of information through the Internet, the need to efficiently determine the relevance of a document becomes even more urgent. Describes a text extraction system (TES), which retrieves a set of sentences from a document to form an indicative abstract. Such an automated process enables information to be filtered more quickly. Discusses the combination of various text extraction techniques. Compares results with manually produced abstracts
Date: 26. 2.1997 10:22:43

Summarising software for publishing (1996) 0.02

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Source: Digital publisher. 1(1996) no.4, S.15-20

Paice, C.D.: Automatic abstracting (1994) 0.02

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Source: Encyclopedia of library and information science. Vol.53, [=Suppl.16]

Johnson, F.C.: ¬A critical view of system-centered to user-centered evaluation of automatic abstracting research (1999) 0.01

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Source: New review of information and library research. 5(1999), S.49-63

Su, H.: Automatic abstracting (1996) 0.01

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Source: Bulletin of the Library Association of China. 1996, no.56, Jun., S.41-47

Uyttendaele, C.; Moens, M.-F.; Dumortier, J.: SALOMON: automatic abstracting of legal cases for effective access to court decisions (1998) 0.01
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Abstract

The SALOMON project summarises Belgian criminal cases in order to improve access to the large number of existing and future cases. A double methodology was used when developing SALOMON: the cases are processed by employing additional knowledge to interpret structural patterns and features on the one hand and by way of occurrence statistics of index terms on the other. SALOMON performs an initial categorisation and structuring of the cases and subsequently extracts the most relevant text units of the alleged offences and of the opinion of the court. The SALOMON techniques do not themselves solve any legal questions, but they do guide the use effectively towards relevant texts

Craven, T.C.: ¬A computer-aided abstracting tool kit (1993) 0.01

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Source: Canadian journal of information and library science. 18(1993) no.2, S.20-31

Johnson, F.: Automatic abstracting research (1995) 0.01

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Source: Library review. 44(1995) no.8, S.28-36

Craven, T.C.: ¬A phrase flipper for the assistance of writers of abstracts and other text (1995) 0.01

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Source: Canadian journal of information and library science. 20(1995) nos.3/4, S.41-49

Moens, M.-F.; Uyttendaele, C.; Dumotier, J.: Abstracting of legal cases : the potential of clustering based on the selection of representative objects (1999) 0.01
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Abstract

The SALOMON project automatically summarizes Belgian criminal cases in order to improve access to the large number of existing and future court decisions. SALOMON extracts text units from the case text to form a case summary. Such a case summary facilitates the rapid determination of the relevance of the case or may be employed in text search. an important part of the research concerns the development of techniques for automatic recognition of representative text paragraphs (or sentences) in texts of unrestricted domains. these techniques are employed to eliminate redundant material in the case texts, and to identify informative text paragraphs which are relevant to include in the case summary. An evaluation of a test set of 700 criminal cases demonstrates that the algorithms have an application potential for automatic indexing, abstracting, and text linkage

Robin, J.; McKeown, K.: Empirically designing and evaluating a new revision-based model for summary generation (1996) 0.01

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Date: 6. 3.1997 16:22:15

Jones, P.A.; Bradbeer, P.V.G.: Discovery of optimal weights in a concept selection system (1996) 0.01

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Source: Information retrieval: new systems and current research. Proceedings of the 16th Research Colloquium of the British Computer Society Information Retrieval Specialist Group, Drymen, Scotland, 22-23 Mar 94. Ed.: R. Leon

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