Treffer: Computer-assisted classification of legal abstracts
Title:
Computer-assisted classification of legal abstracts
Authors:
Source:
IDA-99 : advances in intelligent data analysis (Amsterdam, 9-11 August 1999)Lecture notes in computer science. :437-448
Publisher Information:
Berlin: Springer, 1999.
Publication Year:
1999
Physical Description:
print, 15 ref
Original Material:
INIST-CNRS
Subject Terms:
Computer science, Informatique, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Informatique; automatique theorique; systemes, Computer science; control theory; systems, Intelligence artificielle, Artificial intelligence, Apprentissage et systèmes adaptatifs, Learning and adaptive systems, Analyse donnée, Data analysis, Análisis datos, Informatique juridique, Legal data processing, Informática jurídica, Raisonnement basé sur modèle, Model-based reasoning, Système apprentissage, Learning systems, Système intelligent, Intelligent system, Sistema inteligente, Traitement information, Information processing, Procesamiento información
Document Type:
Konferenz
Conference Paper
File Description:
text
Language:
English
Author Affiliations:
West Group, 610 Opperman Drive, Eagan, MN 55123, United States
ISSN:
0302-9743
Rights:
Copyright 1999 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems
Accession Number:
edscal.1826032
Database:
PASCAL Archive
Weitere Informationen
This paper describes a Memory-Based Reasoning application that generates candidate classifications to aid editors in allocating s of judicial opinions among the 82,000 classes of a legal classification scheme. Using a training collection of more than 20 million previously classified abstracts, the application provides ranked lists of candidate classifications for new abstracts. These lists proved to contain highly relevant classes and integrating this application into the editorial environment should materially improve the efficiency of the work of classifying the new abstracts.