TULSI: an NLP system for extracting legal modificatory provisions-Reference-Cited by-同舟云学术

TULSI: an NLP system for extracting legal modificatory provisions

Published:2012-08-09 Issue:2 Volume:21 Page:139-172
ISSN:0924-8463
Container-title:Artificial Intelligence and Law
language:en
Short-container-title:Artif Intell Law

Author:

Lesmo Leonardo,Mazzei Alessandro,Palmirani Monica,Radicioni Daniele P.

Publisher

Springer Science and Business Media LLC

Subject

Law,Artificial Intelligence

Link

http://link.springer.com/content/pdf/10.1007/s10506-012-9127-6.pdf

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4. Alicante A, Bosco C, Corazza A, Lavelli A (2012) A treebank-based study on the influence of Italian word order on parsing performance. In: Calzolari N (Conference Chair), Choukri K, Declerck T, Uğur Doğan M, Maegaard B, Mariani J, Odijk J, Piperidis S (eds) Proceedings of the eight international conference on language resources and evaluation (LREC’12), Istanbul, Turkey, May 2012. European Language Resources Association (ELRA)

5. Appelt DE, Israel D (1999) Introduction to information extraction technology. In Proceedings of 16th international joint conference on artificial intelligence IJCAI-99, Tutorial

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