Please use this identifier to cite or link to this item:
http://hdl.handle.net/10174/4899
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| Title: | Using machine learning algorithms to identify named entities in legal documents: a preliminary approach |
| Authors: | Poudyal, Prakash
Borrego, Luís
Quaresma, Paulo |
| Editors: | Rato, Luís
Gonçalves, Teresa |
| Keywords: | named entities recognition
machine learning |
| Issue Date: | Nov-2011 |
| Publisher: | Escola de Ciências e Tecnologia da Universidade de Évora |
| Citation: | Prakash Poudyal, Luis Borrego e Paulo Quaresma. Using machine learning algorithms to identify named entities in legal documents: a preliminary approach. In JIUE'2011 - 2as Jornadas de Informática da Universidade de Évora. Évora, Portugal, pages 33-38. ISBN: 978-989-97060-2-6. |
| Abstract: | This paper deals with accuracy and performance of var-
ious machine learning algorithms in the recognition and extraction
of different types of named entities such as date, organization, reg-
ulation laws and person. The experiment is based on 20 judicial
decision documents from European Lex site. The obtained results
were proposed for the selection of the best algorithm that selects
appropriate maximum entities from the legal documents. To ver-
ify the performance of algorithm, obtained data from the tagging
entities were compared with manual work as reference. |
| URI: | http://hdl.handle.net/10174/4899 |
| Type: | article |
| Appears in Collections: | INF - Artigos em Livros de Actas/Proceedings
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