The exploration of legal text corpora with hierarchical neural networks

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The exploration of legal text corpora with hierarchical neural networks: a guided tour in public international law

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International Conference on Artificial Intelligence and Law archive
Proceedings of the 6th international conference on Artificial intelligence and law table of contents

Melbourne, Australia

Pages: 98 - 105

Year of Publication: 1997

ISBN:0-89791-924-6

Authors

Dieter Merkl	Department of Computer Science, Royal Melbourne Institute of Technology, 723 Swanston St., Carlton VIC 3053, Australia
Erich Schweighofer	Institute of Public International Law, University of Vienna, Research Center for Computers and Law, Universitaetsstrasse 2, A-1090 Vienna, Austria

Sponsors

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

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ACM New York, NY, USA

Bibliometrics

Downloads (6 Weeks): 2, Downloads (12 Months): 15, Citation Count: 3

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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 3

	Erich Schweighofer , Andreas Rauber , Michael Dittenbach, Automatic text representation, classification and labeling in European law, Proceedings of the 8th international conference on Artificial intelligence and law, p.78-87, May 2001, St. Louis, Missouri, United States
	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
	Jen-Ying Shih , Yu-Jung Chang , Wun-Hwa Chen, Using GHSOM to construct legal maps for Taiwan's securities and futures markets, Expert Systems with Applications: An International Journal, v.34 n.2, p.850-858, February, 2008