Automated Pipeline for Multi-lingual Automated Essay Scoring with ReaderBench
Author:
Funder
Ministerul Cercetării, Inovării şi Digitalizării
Institute of Education Sciences
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s40593-024-00402-4.pdf
Reference49 articles.
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2. Amorim, E., Canc¸ado, M., & Veloso, A. (2018). Automated essay scoring in the presence of biased ratings. Proceedings of the 2018 conference of the north american chapter of the association for computational linguistics:Human language technologies, volume 1 (long papers) (pp. 229–237).
3. Ayoub, G. (2023). Pyphen Retrieved from https://pypi.org/project/pyphen/.
4. Burstein, J., Kukich, K., Wolff, S., Lu, C., & Chodorow, M. (1998, April). Computer analysis of essays. In NCME symposium on automated scoring.
5. Chen, T., & Guestrin, C. (2016). Xgboost: A scalable tree boosting system. Proceedings of the 22nd acm sigkdd international conference on knowledge discovery and data mining (pp. 785–794).
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