Source: Proceedings. Conference titles: International Conference on Computational Linguistics - COLING. Unidade: ICMC
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, TRATAMENTO AUTOMÁTICO DE TEXTOS E DISCURSOS, PORTUGUÊS DO BRASIL
ABNT
LEAL, Sidney Evaldo et al. Using eye-tracking data to predict the readability of brazilian portuguese sentences in single-task, multi-task and sequential transfer learning approaches. 2020, Anais.. Stroudsburg: ACL, 2020. Disponível em: https://www.aclweb.org/anthology/2020.coling-main.512. Acesso em: 31 out. 2024.APA
Leal, S. E., Vieira, J. M. M., Rodrigues, E. dos S., Teixeira, E. N., & Aluísio, S. M. (2020). Using eye-tracking data to predict the readability of brazilian portuguese sentences in single-task, multi-task and sequential transfer learning approaches. In Proceedings. Stroudsburg: ACL. Recuperado de https://www.aclweb.org/anthology/2020.coling-main.512NLM
Leal SE, Vieira JMM, Rodrigues E dos S, Teixeira EN, Aluísio SM. Using eye-tracking data to predict the readability of brazilian portuguese sentences in single-task, multi-task and sequential transfer learning approaches [Internet]. Proceedings. 2020 ;[citado 2024 out. 31 ] Available from: https://www.aclweb.org/anthology/2020.coling-main.512Vancouver
Leal SE, Vieira JMM, Rodrigues E dos S, Teixeira EN, Aluísio SM. Using eye-tracking data to predict the readability of brazilian portuguese sentences in single-task, multi-task and sequential transfer learning approaches [Internet]. Proceedings. 2020 ;[citado 2024 out. 31 ] Available from: https://www.aclweb.org/anthology/2020.coling-main.512