Named Entity Recognition Applied to Portuguese Texts from the XVIII Century

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 t...

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Bibliographic Details
Main Author: Zilio, Leonardo (author)
Other Authors: Finatto, Maria (author), Vieira, Renata (author)
Format: article
Language:eng
Published: 2022
Subjects:
Named Entity Recognition
Historical Medicine
Online Access:http://hdl.handle.net/10174/32165
Country:Portugal
Oai:oai:dspace.uevora.pt:10174/32165
Description
Summary: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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