Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
The design, implementation, and use of the Ngram statistics package
CICLing'03 Proceedings of the 4th international conference on Computational linguistics and intelligent text processing
An Approach to Legal Rules Modelling and Automatic Learning
Proceedings of the 2009 conference on Legal Knowledge and Information Systems: JURIX 2009: The Twenty-Second Annual Conference
Semantic Processing of Legal Texts
From drafting guideline to error detection: automating style checking for legislative texts
EACL 2012 Proceedings of the Second Workshop on Computational Linguistics and Writing (CLW 2012): Linguistic and Cognitive Aspects of Document Creation and Document Engineering
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This paper deals with the use of computational linguistic analysis techniques for information access and ontology learning within the legal domain. We present a rule-based approach for extracting and analysing definitions from parsed text and evaluate it on a corpus of about 6000 German court decisions. The results are applied to improve the quality of a text based ontology learning method on this corpus. This paper describes research within the project CORTE funded by the German Science Foundation, DFG PI 154/10-1 (http://www.coli.uni-saarland.de/projects/corte/)