Contextual Features for Automatic Essay Scoring in Portuguese-Reference-Cited by-同舟云学术

Contextual Features for Automatic Essay Scoring in Portuguese

Published:2024 Issue: Volume: Page:270-282
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
language:en
Short-container-title:

Author:

Galhardi Lucas^ORCID,Herculano Maria Fernanda^ORCID,Rodrigues Luiz^ORCID,Miranda Péricles^ORCID,Oliveira Hilário^ORCID,Cordeiro Thiago^ORCID,Bittencourt Ig Ibert^ORCID,Isotani Seiji^ORCID,Mello Rafael Ferreira^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-64315-6_23

Reference16 articles.

1. Amorim, E., Veloso, A.: A multi-aspect analysis of automatic essay scoring for Brazilian Portuguese. In: Proceedings of the Student Research Workshop at the 15th Conference of the European Chapter of the Association for Computational Linguistics, pp. 94–102 (2017)

2. Bai, X., Stede, M.: A survey of current machine learning approaches to student free-text evaluation for intelligent tutoring. Int. J. Artif. Intell. Educ. 33(4), 992–1030 (2023)

3. Bittencourt Júnior, J.A.S., et al.: Avaliação automática de redação em língua portuguesa empregando redes neurais profundas (2020)

4. Camelo, R., Justino, S., Mello, R.: Coh-metrix pt-br: uma api web de análise textual para a educação. In: Anais dos Workshops do IX Congresso Brasileiro de Informática na Educação, pp. 179–186. SBC, Porto Alegre (2020). https://doi.org/10.5753/cbie.wcbie.2020.179

5. Fonseca, E., Medeiros, I., Kamikawachi, D., Bokan, A.: Automatically grading brazilian student essays. In: Computational Processing of the Portuguese Language: 13th International Conference, PROPOR 2018, Canela, 24–26 September 2018, Proceedings 13, pp. 170–179. Springer (2018)