Automatically Identifying Eviction Cases and Outcomes Within Case Law of Dutch Courts of First Instance
| Autor: | Medvedeva, Masha, Dam, Thijmen, Wieling, Martijn, Vols, Michel, Schweighofer, Erich |
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| Přispěvatelé: | Computational Linguistics, Empirical Legal Studies, Rethinking Public Interests in Private Relationships, Public Trust and Public Law, Public Interests and Private Relationships |
| Rok vydání: | 2021 |
| Zdroj: | Legal Knowledge and Information Systems, 13-22 STARTPAGE=13;ENDPAGE=22;TITLE=Legal Knowledge and Information Systems Frontiers in Artificial Intelligence and Applications Frontiers in Artificial Intelligence and Applications-Legal Knowledge and Information Systems |
| ISSN: | 0922-6389 1879-8314 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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