A survey of Named Entity Recogntion applied to Portuguese

  • Andressa Vieira e Silva Universidade de São Paulo
DOI: https://doi.org/10.21814/lm.15.2.396
Keywords: named entity recognition, Portuguese

Abstract

Named Entity Recognition is the task of identifying and classifying Named Entities in a text, such as names of people, places and organizations. This is an important task in Natural Language Processing (NLP), serving as the basis for several tasks, such as automatic translation and question answering systems. Since its emergence in the 1990s, the task has gone through several periods in relation to the computational approach, ranging from rule-based systems to the neural network models.

This article presents a review of the NER task considering applications in Portuguese language texts. It presents an overview of the task, tracing a history of the main initiatives to promote the task, the linguistic and computational resources available and the approaches already applied to NER for Portuguese. Finally, a discussion of the general scenario in which the task is and the final analysis considerations is given.

Published
2023-12-30
How to Cite
Andressa Vieira e Silva. (2023). A survey of Named Entity Recogntion applied to Portuguese. Linguamática, 15(2), 69-85. https://doi.org/10.21814/lm.15.2.396
Issue
Vol. 15 No. 2
Section
Research Articles

Copyright (c) 2023 Andressa Vieira e Silva

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