Abstract
Texts referencing court decisions and statutes can be difficult to understand without context. It can be time consuming and expensive to find related statutes or to learn about context specific terminology. As a solution, we utilized a named entity linking tool for extracting information and tailored it into a service, Appi, that can automatically annotate legal documents to provide context to the readers. The service can identify and link named entities and references to legal texts to corresponding vocabularies and data sources by combining statistics- and rule-based named entity recognition with named entity linking. The results provide users with enhanced reading experience with contextual information and the possibility to access related materials, such as statutes and court decisions.
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Notes
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A demonstrator that is under development is available at http://nlp.ldf.fi/appi.
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Acknowledgments
This work is part of the ANOPPI project (https://seco.cs.aalto.fi/projects/anoppi/en/) funded by the Ministry of Justice in Finland. CSC – IT Center for Science, Finland, provided us with computational resources.
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Tamper, M., Oksanen, A., Tuominen, J., Hietanen, A., Hyvönen, E. (2020). Automatic Annotation Service APPI: Named Entity Linking in Legal Domain. In: Harth, A., et al. The Semantic Web: ESWC 2020 Satellite Events. ESWC 2020. Lecture Notes in Computer Science(), vol 12124. Springer, Cham. https://doi.org/10.1007/978-3-030-62327-2_36
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