Generalizable Automatic Short Answer Scoring via Prototypical Neural Network

Author:

Zeng Zijie,Li Lin,Guan Quanlong,Gašević Dragan,Chen Guanliang

Publisher

Springer Nature Switzerland

Reference34 articles.

1. Alikaniotis, D., Yannakoudakis, H., Rei, M.: Automatic text scoring using neural networks. In: Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pp. 715–725 (2016)

2. Baral, S., Botelho, A.F., Erickson, J.A., Benachamardi, P., Heffernan, N.T.: Improving automated scoring of student open responses in mathematics. Int. Educ. Data Min. Soc. (2021)

3. Blanc, G., Rendle, S.: Adaptive sampled softmax with kernel based sampling. In: International Conference on Machine Learning, pp. 590–599. PMLR (2018)

4. Boney, R., Ilin, A., et al.: Active one-shot learning with prototypical networks. In: ESANN (2019)

5. Condor, A., Litster, M., Pardos, Z.: Automatic short answer grading with sbert on out-of-sample questions. In: Proceedings of the 14th International Conference on Educational Data Mining (2021)

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