Kai Krabben

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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,(More)
The ultimate goal of the application of artificial intelligence in the field of legislation is to support automated modeling of sources of law. These models can help to provide fast, comprehensible and easy access to up-to-date legal knowledge to both civilians and professionals in the legal domain. A first step towards the translation of provisions into(More)
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