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“Exclude one feature group” set has represented that the QWK scores of SVM and BLRR without prompt
        features are better in performance. Hence, we showed that the prompt feature is overfitting in the dataset. As
        such, we can work on researching the new prompt feature in the future.


        References
        Attali, Y., & Burstein, J. (2006). Automated essay scoring with e-rater® V. 2. The Journal of Technology,
        Learning and Assessment, 4(3).
        Eid, S. M., &Wanas, N. M. (2017, November). Automated essay scoring linguistic feature: Comparative
        study. In 2017 Intl Conf on Advanced Control Circuits Systems (ACCS) Systems & 2017 Intl Conf on New
        Paradigms in Electronics & Information Technology (PEIT) (pp. 212-217). IEEE.
        Elliot, S. (2003). IntelliMetric: From here to validity. Automated essay scoring: A cross-disciplinary
        perspective, 71-86.
        Graesser, A. C., McNamara, D. S., Louwerse, M. M., & Cai, Z. (2004). Coh-Metrix: Analysis of text on
        cohesion and language. Behavior research methods, instruments, & computers, 36(2), 193-202.
        Janda, H. K., Pawar, A., Du, S., & Mago, V. (2019). Syntactic, Semantic and Sentiment Analysis: The Joint
        Effect on Automated Essay Evaluation. IEEE Access, 7, 108486-108503.
        Latifi, S., &Gierl, M. (2020). Automated scoring of junior and senior high essays using Coh-Metrix features:
        Implications for large-scale language testing. Language Testing, 0265532220929918.
        McNamara, D. S., Louwerse, M. M., McCarthy, P. M., &Graesser, A. C. (2010). Coh-Metrix: Capturing
        linguistic features of cohesion. Discourse Processes, 47(4), 292-330.
        Miltsakaki, E., &Kukich, K. (2000). Automated evaluation of coherence in student essays. In Proceedings of
        LREC 2000 (pp. 1-8).
        Norton, L. S. (1990). Essay-writing: what really counts?. Higher Education, 20(4), 411-442.
        Page, E. B. (1966). The imminence of... grading essays by computer. The Phi Delta Kappan, 47(5), 238-243.
        Page, E. B. (1994). Computer grading of student prose, using modern concepts and software. The Journal of
        experimental education, 62(2), 127-142.
        Phandi, P., Chai, K. M. A., & Ng, H. T. (2015, September). Flexible domain adaptation for automated essay
        scoring using correlated linear regression. In Proceedings of the 2015 Conference on Empirical Methods in
        Natural Language Processing (pp. 431-439).
        Shermis, M. D., & Burstein, J. C. (Eds.). (2003). Automated essay scoring: A cross-disciplinary perspective.
        Routledge.
        Vanbelle, S., & Albert, A. (2009). A note on the linearly weighted kappa coefficient for ordinal scales.
        Statistical Methodology, 6(2), 157-163.


























        E- Proceedings of The 5th International Multi-Conference on Artificial Intelligence Technology (MCAIT 2021)   [39]
        Artificial Intelligence in the 4th Industrial Revolution
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