Improved Evaluator for Subjective Answers Using Natural Language Processing

Author:

Yasin Sharif A.ORCID,Ravindhar N. V.ORCID

Publisher

Springer Nature Switzerland

Reference22 articles.

1. Stoehr, F., Kämpgen, B., Müller, L., et al.: Natural language processing for automatic evaluation of free-text answers—a feasibility study based on the European Diploma in Radiology examination. Insights Imaging 14, 150 (2023). https://doi.org/10.1186/s13244-023-01507-5

2. Kumari, V., Godbole, P., Sharma, Y.: Automatic subjective answer evaluation. In: Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods (2023). https://doi.org/10.5220/0011656000003411

3. Kudale, G., Mali, N., Suryawanshi, N., Bansode, M., Agarwal, R.: Automated subjective answer evaluation using NLP. Int. J. Creative Res. Thoughts 11 (2023)

4. Saranya, A., Monisha, M., Nandhini, P., Rakshana, M., Tejashree, R.: Student automatic correction using natural language processing. Int. J. Mod. Dev. Eng. Sci. 2(3), 27–31 (2023)

5. Vanathi, B., Sashrutha, M., Swetha, B., Ramya, R.: Automated exam paper evaluation system. Int. J. Curr. Sci. 13(2) (2023)

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