Document (#20945)

Author
Moens, M.-F.
Uyttendaele, C.
Dumotier, J.
Title
Abstracting of legal cases : the potential of clustering based on the selection of representative objects
Source
Journal of the American Society for Information Science. 50(1999) no.2, S.151-161
Year
1999
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
Theme
Automatisches Abstracting
Field
Rechtswissenschaft
Object
SALOMON
Location
B

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  5. Sweeney, S.; Crestani, F.; Losada, D.E.: 'Show me more' : incremental length summarisation using novelty detection (2008) 0.13 
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