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Legal NERC with ontologies, Wikipedia and curriculum learning
2017
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers
In this paper, we present a Wikipediabased approach to develop resources for the legal domain. We establish a mapping between a legal domain ontology, LKIF (Hoekstra et al., 2007) , and a Wikipediabased ontology, YAGO (Suchanek et al., 2007), and through that we populate LKIF. Moreover, we use the mentions of those entities in Wikipedia text to train a specific Named Entity Recognizer and Classifier. We find that this classifier works well in the Wikipedia, but, as could be expected,
doi:10.18653/v1/e17-2041
dblp:conf/eacl/CardellinoTAV17
fatcat:zzxrmxw2ezejhlnsjd6c3oumfy