Fine-Grained Named Entity Recognition in Legal Documents

@inproceedings{Leitner2019FineGrainedNE,
  title={Fine-Grained Named Entity Recognition in Legal Documents},
  author={Elena Leitner and Georg Rehm and Juli{\'a}n Moreno Schneider},
  booktitle={International Conference on Semantic Systems},
  year={2019}
}
This paper describes an approach at Named Entity Recognition (NER) in German language documents from the legal domain. For this purpose, a dataset consisting of German court decisions was developed. The source texts were manually annotated with 19 semantic classes: person, judge, lawyer, country, city, street, landscape, organization, company, institution, court, brand, law, ordinance, European legal norm, regulation, contract, court decision, and legal literature. The dataset consists of… 

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