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Information filtering: the computation of similarities in large corpora of legal texts

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International Conference on Artificial Intelligence and Law archive
Proceedings of the 5th international conference on Artificial intelligence and law table of contents

College Park, Maryland, United States

Pages: 119 - 126

Year of Publication: 1995

ISBN:0-89791-758-8

Authors

Erich Schweighofer	Institute of Public International Law, University of Vienna, Universitätsstraβe 2, A-1090 Vienna, Austria
Werner Winiwarter	Department of Information Engineering, University of Vienna, Liebiggasse 4/3, A-1010 Vienna, Austria
Dieter Merkl	Institute of Software Technology, Vienna University of Technology, Resselgasse 3/188, A-1040 Vienna, Austria

Sponsors

IAAIL : Intl Asso for Artifical Intel & Law
UMIACS : U of MD Inst for Advanced Comp Studies
SIGART: ACM Special Interest Group on Artificial Intelligence

Publisher

ACM New York, NY, USA

Bibliometrics

Downloads (6 Weeks): 6, Downloads (12 Months): 21, Citation Count: 5

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REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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CITED BY 5

	Dieter Merkl , Erich Schweighofer, The exploration of legal text corpora with hierarchical neural networks: a guided tour in public international law, Proceedings of the 6th international conference on Artificial intelligence and law, p.98-105, June 30-July 03, 1997, Melbourne, Australia
	Stefanie Brüninghaus , Kevin D. Ashley, Toward adding knowledge to learning algorithms for indexing legal cases, Proceedings of the 7th international conference on Artificial intelligence and law, p.9-17, June 14-17, 1999, Oslo, Norway
	Jack G. Conrad , Daniel P. Dabney, Automatic recognition of distinguishing negative indirect history language in judicial opinions, Proceedings of the tenth international conference on Information and knowledge management, October 05-10, 2001, Atlanta, Georgia, USA
	Dieter Merkl, Exploration of text collections with hierarchical feature maps, ACM SIGIR Forum, v.31 n.SI, p.186-195
	Erich Schweighofer , Dieter Merkl, A learning technique for legal document analysis, Proceedings of the 7th international conference on Artificial intelligence and law, p.156-163, June 14-17, 1999, Oslo, Norway