Using machine learning algorithms to identify named entities in legal documents: a preliminary approach
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. T...
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| Outros Autores: | , |
| Formato: | article |
| Idioma: | eng |
| Publicado em: |
2012
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| Texto completo: | http://hdl.handle.net/10174/4899 |
| País: | Portugal |
| Oai: | oai:dspace.uevora.pt:10174/4899 |