Named Entity Recognition Applied to Portuguese Texts from the XVIII Century
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CEUR
Abstract
Extracting data and knowledge dispersed along Portuguese old medical records is important especially for researchers dealing with historical epidemiology and health sciences. An essential task in Natural Language Processing for processing textual information is Named En- tity Recognition (NER). In this paper, our main objective is to test the performance of NER systems for Portuguese for extracting information from XVIII-century medical texts, so that we can provide an annotated version of an important work of this type.
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Zilio, L., Finatto, M.J., Vieira, R.: Named entity recognition applied to portuguese texts from the XVIII century. In: Trojahn, C., Finatto, M.J., de Paiva, V., Vieira, R. (eds.) Proceedings of the Second Workshop on Digital Humanities and Natural Language Processing (2nd DHandNLP 2022) co-located with International Conference on the Computational Processing of Portuguese (PROPOR 2022), Virtual Event, Fortaleza, Brazil, 21st March, 2022. CEUR Workshop Proceedings, vol. 3128, pp. 1–10. CEUR-WS.org (2022), http://ceur-ws.org/Vol-3128/paper10.pd