Using eye-tracking data to predict the readability of brazilian portuguese sentences in single-task, multi-task and sequential transfer learning approaches (2020)
- Autores:
- Autores USP: ALUISIO, SANDRA MARIA - ICMC ; LEAL, SIDNEY EVALDO - ICMC
- Unidade: ICMC
- Assuntos: PROCESSAMENTO DE LINGUAGEM NATURAL; TRATAMENTO AUTOMÁTICO DE TEXTOS E DISCURSOS; PORTUGUÊS DO BRASIL
- Agências de fomento:
- Idioma: Inglês
- Imprenta:
- Editora: ACL
- Local: Stroudsburg
- Data de publicação: 2020
- Fonte:
- Título: Proceedings
- Nome do evento: International Conference on Computational Linguistics - COLING
-
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: 15 maio 2025. -
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.512 -
NLM
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 2025 maio 15 ] Available from: https://www.aclweb.org/anthology/2020.coling-main.512 -
Vancouver
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 2025 maio 15 ] Available from: https://www.aclweb.org/anthology/2020.coling-main.512 - Complexidade textual e suas tarefas relacionadas
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- Text complexity of open educational resources in Portuguese: mixing written and spoken registers in a multi-task approach
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