Automatic Annotation Service APPI: Named Entity Linking in Legal Domain
Authors: 
Minna Tamper, Arttu Oksanen, Jouni Tuominen, Aki Hietanen, Eero HyvönenAuthors Info & Claims
Pages 208 - 213
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.
References
[1]
Devlin, J., Chang, M.W., Lee, K., Toutanova, K.: BERT: pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805 (2018)
[2]
Ferragina, P., Scaiella, U.: TAGME: on-the-fly annotation of short text fragments (by Wikipedia entities). In: Proceedings of the 19th ACM International Conference on Information and Knowledge Management, pp. 1625–1628. ACM (2010)
[3]
Frosterus, M., Tuominen, J., Hyvönen, E.: Facilitating re-use of legal data in applications–Finnish law as a linked open data service. In: Proceedings of the 27th International Conference on Legal Knowledge and Information Systems (JURIX 2014), pp. 115–124. IOS Press (2014)
[4]
Kettunen, K., Mäkelä, E., Ruokolainen, T., Kuokkala, J., Löfberg, L.: Old content and modern tools-searching named entities in a Finnish OCRed historical newspaper collection 1771–1910. arXiv preprint arXiv:1611.02839 (2016)
[5]
Mäkelä E Presutti V, Blomqvist E, Troncy R, Sack H, Papadakis I, and Tordai A Combining a REST lexical analysis web service with SPARQL for mashup semantic annotation from text The Semantic Web: ESWC 2014 Satellite Events 2014 Cham Springer 424-428
[6]
Mäkelä, E., Lindquist, T., Hyvönen, E.: CORE - a contextual reader based on linked data. In: Proceedings of Digital Humanities 2016, Krakow, Poland (Long Papers), pp. 267–269 (2016)
[7]
Maynard D, Roberts I, Greenwood MA, Rout D, and Bontcheva K A framework for real-time semantic social media analysis J. Web Semant. 2017 44 75-88
[8]
Mendes, P.N., Jakob, M., García-Silva, A., Bizer, C.: DBpedia Spotlight: shedding light on the web of documents. In: Proceedings of the 7th International Conference on Semantic Systems, pp. 1–8. ACM (2011)
[9]
Oksanen, A., Tuominen, J., Mäkelä, E., Tamper, M., Hietanen, A., Hyvönen, E.: Semantic Finlex: transforming, publishing, and using Finnish legislation and case law as linked open data on the web. In: Peruginelli, G., Faro, S. (eds.) Knowledge of the Law in the Big Data Age, Frontiers in Artificial Intelligence and Applications, vol. 317, pp. 212–228. IOS Press (2019)
[10]
Piccinno, F., Ferragina, P.: From TagME to WAT: a new entity annotator. In: Proceedings of the First International Workshop on Entity Recognition & Disambiguation, pp. 55–62. ACM (2014)
[11]
Ruokolainen T, Kauppinen P, Silfverberg M, and Lindén K A Finnish news corpus for named entity recognition Lang. Resour. Eval. 2019 54 1 247-272
[12]
Sarsa, S., Hyvönen, E.: Searching case law judgements by using other judgements as a query. In: Proceedings of the 9th Conference Artificial Intelligence and Natural Language. AINL 2020, Helsinki, Finland, 7–9 October 2020. Springer-Verlag (2020)
[13]
Tamper, M., Hyvönen, E., Leskinen, P.: Visualizing and analyzing networks of named entities in biographical dictionaries for digital humanities research. In: Proceedings of the 20th International Conference on Computational Linguistics and Intelligent Text Processing (CICling 2019). Springer (2019, forthcoming)
[14]
Tamper, M., Leskinen, P., Tuominen, J., Hyvönen, E.: Modeling and publishing Finnish person names as a linked open data ontology. In: 3rd Workshop on Humanities in the Semantic Web (WHiSe). CEUR Workshop Proceedings (2020)
[15]
Virtanen, A., et al.: Multilingual is not enough: BERT for Finnish (2019). arXiv preprint arXiv:1912.07076
Index Terms
- Automatic Annotation Service APPI: Named Entity Linking in Legal Domain
Index terms have been assigned to the content through auto-classification.
Recommendations
Named Entity Linking in English-Czech Parallel Corpus
Text, Speech, and DialogueAbstractWe present a procedure to build relatively quickly new resources with annotated named entities and their linking to Wikidata. First, we applied state-of-the-art models for named entity recognition on a sentence-aligned parallel English-Czech ...
Context Aware Named Entity Disambiguation
WI-IAT '12: Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 01Recently, named entity recognition tools tend to disambiguate recognized named entities on a very detailed level. Instead of elementary types (e.g. Person or Location), they assign concrete identifiers, trying to distinguish even different entities ...
Evaluating Entity Linking with Wikipedia
Named Entity Linking (nel) grounds entity mentions to their corresponding node in a Knowledge Base (kb). Recently, a number of systems have been proposed for linking entity mentions in text to Wikipedia pages. Such systems typically search for candidate ...
Comments
Please enable JavaScript to view thecomments powered by Disqus.Information & Contributors
Information
Published In
May 2020
325 pages
ISBN:978-3-030-62326-5
DOI:10.1007/978-3-030-62327-2
© Springer Nature Switzerland AG 2020.
Publisher
Springer-Verlag
Berlin, Heidelberg
Publication History
Published: 31 May 2020
Author Tags
Qualifiers
- Article
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 0Total Downloads
- Downloads (Last 12 months)0
- Downloads (Last 6 weeks)0
Reflects downloads up to 20 Nov 2024
Other Metrics
Citations
View Options
View options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in