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Aline Paes

Biographic Data

ID1754966
NAMEAline Paes
GIVEN NAMESAline
FAMILY NAMEPaes
SIGNATUREPAES A
AFFILIATIONSUniversidade Federal Fluminense
ORCID0000-0002-9089-7303
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS0
WORKS AS AUTHOR4
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2021
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Deep Learning for Natural Language Processing

    Open Access•Aline Paes•ARTICLE•Computational Linguistics•2026

  • Does F1 fool you? A survey on annotator metadata transparency in hate speech detection

    Laura Costa Ribeiro, Aline Paes•ARTICLE•Journal of Information…•2026•References: 23

    Purpose This study aims to discuss transparency and accountability in hate speech detection and adjacent fields, with a focus on misogyny, by analyzing annotator documentation; as well as to re-examine the prevailing overreliance on performance metrics alone for model evaluation and to emphasize the critical role of annotator documentation in ensuring equitable and trustworthy detection systems. Design/methodology/approach The discussion is based…

  • Abordagem baseada em Aumento de Dados para Avaliação Automática de Leiturabilidade

    Open Access•Luiza Cunha de Menezes, Aline Paes et al.•ARTICLE•Domínios de Lingu gem•2023

    Embora estudos sobre como medir a leiturabilidade de um texto remontem ao século passado, ainda não há um consenso sobre quais seriam as melhores métricas. Ferramentas de Processamento de Linguagem Natural (PLN) podem apoiar esta tarefa, mas dependem de um grande número de amostras para treinamento, o que é uma barreira para seu avanço. O objetivo principal deste artigo é analisar o impacto de determinados métodos de aumento de dados (AD) para en…

  • A survey on the use of data and opinion mining in social media to political electoral outcomes prediction

    Open Access•Jéssica S Santos, Flavia Bernardini et al.•ARTICLE•Social Network Analysis and Mining•2021

No prominent works on this page.

  • A survey on the use of data and opinion mining in social media to political electoral outcomes prediction

    Open Access•Jéssica S Santos, Flavia Bernardini et al.•ARTICLE•Social Network Analysis and Mining•2021

  • Abordagem baseada em Aumento de Dados para Avaliação Automática de Leiturabilidade

    Open Access•Luiza Cunha de Menezes, Aline Paes et al.•ARTICLE•Domínios de Lingu gem•2023

    Embora estudos sobre como medir a leiturabilidade de um texto remontem ao século passado, ainda não há um consenso sobre quais seriam as melhores métricas. Ferramentas de Processamento de Linguagem Natural (PLN) podem apoiar esta tarefa, mas dependem de um grande número de amostras para treinamento, o que é uma barreira para seu avanço. O objetivo principal deste artigo é analisar o impacto de determinados métodos de aumento de dados (AD) para en…

  • Deep Learning for Natural Language Processing

    Open Access•Aline Paes•ARTICLE•Computational Linguistics•2026

  • Does F1 fool you? A survey on annotator metadata transparency in hate speech detection

    Laura Costa Ribeiro, Aline Paes•ARTICLE•Journal of Information…•2026•References: 23

    Purpose This study aims to discuss transparency and accountability in hate speech detection and adjacent fields, with a focus on misogyny, by analyzing annotator documentation; as well as to re-examine the prevailing overreliance on performance metrics alone for model evaluation and to emphasize the critical role of annotator documentation in ensuring equitable and trustworthy detection systems. Design/methodology/approach The discussion is based…

Natural Language Processing Techniques (2 works) · Artificial Intelligence (1 work) · Authorship Attribution and Profiling (1 work) · Comparability (1 work) · Complex Network Analysis Techniques (1 work) · Computer Science (1 work) · Constructed language (1 work) · Data collection (1 work) · Data mining (1 work) · Data science (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae