Análise da capacidade de identificação de paráfrase em ferramentas de resolução de correferência. - Bernardo Scapini Consoli; Joaquim Francisco Santos Neto; Sandra Collovini de Abreu; Renata Vieira (Linguamática, 2018)

Assessing the Impact of Contextual Embeddings for Portuguese Named Entity Recognition. - Joaquim Santos 001; Bernardo Scapini Consoli; Cícero Nogueira dos Santos; Juliano Terra; Sandra Collovini; Renata Vieira (BRACIS, 2019)

IberLEF 2019 Portuguese Named Entity Recognition and Relation Extraction Tasks. - Sandra Collovini; Joaquim Francisco Santos Neto; Bernardo Scapini Consoli; Juliano Terra; Renata Vieira; Paulo Quaresma; Marlo Souza; Daniela Barreiro Claro; Rafael Glauber (IberLEF@SEPLN, 2019)

Multidomain Contextual Embeddings for Named Entity Recognition. - Joaquim Santos 001; Juliano Terra; Bernardo Scapini Consoli; Renata Vieira (IberLEF@SEPLN, 2019)

Embeddings for Named Entity Recognition in Geoscience Portuguese Literature. - Bernardo Scapini Consoli; Joaquim Santos 001; Diogo Gomes 003; Fábio Corrêa Cordeiro; Renata Vieira; Viviane Pereira Moreira (LREC, 2020)

Word Embedding Evaluation in Downstream Tasks and Semantic Analogies. - Joaquim Santos 001; Bernardo Scapini Consoli; Renata Vieira (LREC, 2020)

Portuguese word embeddings for the oil and gas industry: Development and evaluation. - Diogo da Silva Magalhães Gomes; Fábio Corrêa Cordeiro; Bernardo Scapini Consoli; Nikolas Lacerda Santos; Viviane Pereira Moreira; Renata Vieira; Silvia Moraes 001; Alexandre Gonçalves Evsukoff (Comput. Ind., 2021)

BRATECA (Brazilian Tertiary Care Dataset): a Clinical Information Dataset for the Portuguese Language. - Bernardo Scapini Consoli; Henrique D. P. dos Santos; Ana Helena D. P. S. Ulbrich; Renata Vieira; Rafael H. Bordini (LREC, 2022)

Enriching Portuguese Word Embeddings with Visual Information. - Bernardo Scapini Consoli; Renata Vieira (PROPOR, 2022)

Benchmarking the BRATECA Clinical Data Collection for Prediction Tasks. - Bernardo Scapini Consoli; Renata Vieira; Rafael H. Bordini (HEALTHINF, 2023)