| Authors |
|
| Publication date |
2010
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| Host editors |
|
| Book title |
Legal knowledge and information systems: JURIX 2010, the twenty-third annual conference
|
| ISBN |
|
| ISBN (electronic) |
|
| Series |
Frontiers in Artificial Intelligence and Applications
|
| Event |
JURIX 2010
|
| Pages (from-to) |
87-96
|
| Publisher |
Amsterdam: IOS Press
|
| Organisations |
-
Faculty of Law (FdR) - Leibniz Center for Law (FdR)
|
| Abstract |
This paper presents results of an experiment in which we used machine learning (ML) techniques to classify sentences in Dutch legislation. These results are compared to the results of a pattern-based classifier. Overall, the ML classifier performs as accurate (>90%) as the pattern based one, but seems to generalize worse to new laws. Given these results, the pattern based approach is to be preferred since its reasons for classification are clear and can be used for further modelling of the content of the sentences.
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| Document type |
Conference contribution
|
| Language |
English
|
| Published at |
https://doi.org/10.3233/978-1-60750-682-9-87
|
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