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%0 Conference Proceedings
%T Anomaly Detection in Text Data: A Semi-Supervised Approach Applied to the Portuguese Domain
%A Maia, Fabio Masaracchia
%A Costa, Anna Helena Reali
%Y Claro, Daniela Barreiro
%Y Pagano, Adriana
%S Proceedings of the 15th Brazilian Symposium in Information and Human Language Technology
%D 2024
%I Association for Computational Linguistics
%C Belém do Pará, Brazil
%F maia-costa-2024-anomaly
%U https://aclanthology.org/2024.stil-1.30/
%P 276-281

Markdown (Informal)

[Anomaly Detection in Text Data: A Semi-Supervised Approach Applied to the Portuguese Domain](https://aclanthology.org/2024.stil-1.30/) (Maia & Costa, STIL 2024)

• Anomaly Detection in Text Data: A Semi-Supervised Approach Applied to the Portuguese Domain (Maia & Costa, STIL 2024)

ACL

• Fabio Masaracchia Maia and Anna Helena Reali Costa. 2024. Anomaly Detection in Text Data: A Semi-Supervised Approach Applied to the Portuguese Domain. In Proceedings of the 15th Brazilian Symposium in Information and Human Language Technology, pages 276–281, Belém do Pará, Brazil. Association for Computational Linguistics.