Sidney Evaldo Leal, João Marcos Munguba Vieira, Erica dos Santos Rodrigues, Elisângela Nogueira Teixeira, Sandra M. Aluísio. Using Eye-tracking Data to Predict the Readability of Brazilian Portuguese Sentences in Single-task, Multi-task and Sequential Transfer Learning Approaches. In Donia Scott, Núria Bel, Chengqing Zong, editors, Proceedings of the 28th International Conference on Computational Linguistics, COLING 2020, Barcelona, Spain (Online), December 8-13, 2020. pages 5821-5831, International Committee on Computational Linguistics, 2020. [doi]
@inproceedings{LealVRTA20,
title = {Using Eye-tracking Data to Predict the Readability of Brazilian Portuguese Sentences in Single-task, Multi-task and Sequential Transfer Learning Approaches},
author = {Sidney Evaldo Leal and João Marcos Munguba Vieira and Erica dos Santos Rodrigues and Elisângela Nogueira Teixeira and Sandra M. Aluísio},
year = {2020},
url = {https://www.aclweb.org/anthology/2020.coling-main.512/},
researchr = {https://researchr.org/publication/LealVRTA20},
cites = {0},
citedby = {0},
pages = {5821-5831},
booktitle = {Proceedings of the 28th International Conference on Computational Linguistics, COLING 2020, Barcelona, Spain (Online), December 8-13, 2020},
editor = {Donia Scott and Núria Bel and Chengqing Zong},
publisher = {International Committee on Computational Linguistics},
isbn = {978-1-952148-27-9},
}