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Automatically Identifying Eviction Cases and Outcomes Within Case Law of Dutch Courts of First Instance
Masha Medvedeva, Thijmen Dam, Martijn Wieling, Michel Vols
13 - 22
10.3233/FAIA210312
Research Article
Frontiers in Artificial Intelligence and Applications
Volume 346: Legal Knowledge and Information Systems
Abstract

In this paper we attempt to identify eviction judgements within all case law published by Dutch courts in order to automate data collection, previously conducted manually. To do so we performed two experiments. The first focused on identifying judgements related to eviction, while the second focused on identifying the outcome of the cases in the judgements (eviction vs. dismissal of the landlord’s claim). In the process of conducting the experiments for this study, we have created a manually annotated dataset with eviction-related judgements and their outcomes.

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