Characterizing Opinion Mining: A Systematic Mapping Study of the Portuguese Language. - Ellen Souza 001; Douglas Vitório; Dayvid Castro; Adriano L. I. Oliveira; Cristine Gusmão (PROPOR, 2016)

Characterizing User-Generated Text Content Mining: A Systematic Mapping Study of the Portuguese Language. - Ellen Souza 001; Dayvid Castro; Douglas Vitório; Ingryd Teles; Adriano L. I. Oliveira; Cristine Gusmão (WorldCIST (1), 2016)

Investigating Opinion Mining through Language Varieties: a Case Study of Brazilian and European Portuguese tweets. - Douglas Vitório; Ellen Polliana Ramos Souza; Ingryd Pereira; Adriano L. I. Oliveira (STIL, 2017)

Smoothed n-gram based models for tweet language identification: A case study of the Brazilian and European Portuguese national varieties. - Dayvid Castro; Ellen Souza 001; Douglas Vitório; Diego Santos; Adriano L. I. Oliveira (Appl. Soft Comput., 2017)

Characterising text mining: a systematic mapping review of the Portuguese language. - Ellen Souza 001; Danilo Costa; Dayvid Castro; Douglas Vitório; Ingryd Teles; Rafaela Almeida; Tiago Alves 001; Adriano L. I. Oliveira; Cristine Gusmão (IET Softw., 2018)

Using Active Learning Sampling Strategies for Ensemble Generation on Opinion Mining. - Douglas Vitório; Ellen Souza 001; Adriano L. I. Oliveira (BRACIS, 2019)

Evaluating Active Learning Sampling Strategies for Opinion Mining in Brazilian Politics Corpora. - Douglas Vitório; Ellen Souza 001; Adriano L. I. Oliveira (EPIA (2), 2019)

An Information Retrieval Pipeline for Legislative Documents from the Brazilian Chamber of Deputies. - Ellen Souza 001; Douglas Vitório; Gyovana Moriyama; Luiz Santos; Lucas Martins; Mariana Souza; Márcio Fonseca F. da Silva; Nádia Félix; André C. P. L. F. de Carvalho; Hidelberg Oliveira Albuquerque; Adriano L. I. Oliveira (JURIX, 2021)

Ulysses-RFSQ: A Novel Method to Improve Legal Information Retrieval Based on Relevance Feedback. - Douglas Vitório; Ellen Souza 001; Lucas Martins; Nádia Félix F. da Silva; André Carlos Ponce de Leon Ferreira de Carvalho; Adriano L. I. Oliveira (BRACIS (1), 2022)

Expanding UlyssesNER-Br Named Entity Recognition Corpus with Informal User-Generated Text. - Rosimeire Costa; Hidelberg Oliveira Albuquerque; Gabriel Silvestre; Nádia Félix F. da Silva; Ellen Souza 001; Douglas Vitório; Augusto Nunes; Felipe Siqueira; João Pedro M. Tarrega; João Vitor P. Beinotti; Márcio de Souza Dias; Fabíola S. F. Pereira; et al. (EPIA, 2022)

UlyssesNER-Br: A Corpus of Brazilian Legislative Documents for Named Entity Recognition. - Hidelberg Oliveira Albuquerque; Rosimeire Costa; Gabriel Silvestre; Ellen Souza 001; Nádia Félix F. da Silva; Douglas Vitório; Gyovana Moriyama; Lucas Martins; Luiza Soezima; Augusto Nunes; Felipe Siqueira; João Pedro M. Tarrega; et al. (PROPOR, 2022)

On the Assessment of Deep Learning Models for Named Entity Recognition of Brazilian Legal Documents. - Hidelberg Oliveira Albuquerque; Ellen Souza 001; Adriano L. I. Oliveira; David L. Macêdo; Cleber Zanchettin; Douglas Vitório; Nádia Félix F. da Silva; André C. P. L. F. de Carvalho (EPIA (2), 2023)

HIRS: A Hybrid Information Retrieval System for Legislative Documents. - José Antônio dos Santos; Ellen Souza 001; Carmelo J. A. Bastos Filho; Hidelberg Oliveira Albuquerque; Douglas Vitório; Danilo Carlos Gouveia de Lucena; Nádia Félix F. da Silva; André C. P. L. F. de Carvalho (EPIA (1), 2024)

UlyssesNERQ: Expanding Queries from Brazilian Portuguese Legislative Documents through Named Entity Recognition. - Hidelberg Albuquerque; Ellen Souza 001; Tainan Silva; Rafael P. Gouveia; Flávio Rocha Junior; Douglas Vitório; Nádia Félix F. da Silva; André C. P. L. F. de Carvalho; Adriano Lorena Inácio de Oliveira; Francisco Edmundo de Andrade (PROPOR (1), 2024)

Ulysses Tesemõ: a new large corpus for Brazilian legal and governmental domain. - Felipe Alves Siqueira; Douglas Vitório; Ellen Souza 001; José A. P. Santos; Hidelberg Oliveira Albuquerque; Márcio de Souza Dias; Nádia Félix F. da Silva; André C. P. L. F. de Carvalho; Adriano L. I. Oliveira; Carmelo J. A. Bastos Filho (Lang. Resour. Evaluation, 2025)

Building a relevance feedback corpus for legal information retrieval in the real-case scenario of the Brazilian Chamber of Deputies. - Douglas Vitório; Ellen Souza 001; Lucas Martins; Nádia Félix F. da Silva; André Carlos Ponce de Leon Ferreira de Carvalho; Adriano Lorena Inácio de Oliveira; Francisco Edmundo de Andrade (Lang. Resour. Evaluation, 2025)