Comprehensive Study of Textual Processing and Proposed Automatic Essay Evaluation System

  • Aqsa Zahid Mughal
  • Asia Samreen

Abstract

From last 50 years the work has been conducted on building such systems that can have capabilities by which it can evaluate or check like a human tutor or even better than a human tutor, this is the goal of Automatic Essay Evaluation System. Grading essays is one of the most tedious and time-consuming task, subjectivity of topic, bias nature of human grader are also key points which affect the process of assessing, this becomes initial motivation for advancing the method of assessment resulting human written essays are now assessed by humans and also by computer system Automatic Essay Evaluation System. In this paper a detailed study is conducted on AEE systems and its building approaches such as text mining and text processing for the purpose to bring the exposure to this research field as technology upgrades, it has become more commercialized raising to the most important problem in the development of AEE system, the lack of its exposer. This paper also addresses our approach replicating all possible qualities of existing AEE system for the students and teachers of Pakistan.

References

[1] K. Zupanc and Z. Bonsic, "Advances in the Field of Automated Essay Evaluation", Informatica, vol. 39, pp. 118-132, 2016.
[2] M. D. Shemis and J. C. Burstein, Automated Essay Scoring: A Cross-Disciplinary Perspective, Routledge, 2003.
[3] S. Ghosh and S. S. Fatima, "Design of an Automated Essay Grading (AEG) System in Indian Context", International Journal of Computer Applications, vol. 11, pp. 72-77.
[4] Waegel, "The Development of Text-Mining Tools and Algorithms". unpublished, 2006.
[5] L. Kumar and P. Bhatia, "Text Mining: Concepts, Process and Applications", Journal of Global Research in Computer Science, vol. 4, pp. 36-39, 2013.
[6] A. O. Ade-Ibijola, I. Wakama and J. C. Amadi, "An Expert System for Automated Essay Scoring (AES) in Computing using Shallow NLP Techniques for Inferencing," International Journal of Computer Application, vol. 51, pp. 37-45, 2012.
[7] S. Rose, N. Cramer, W. Cowley and D. Engel, "Automatic Keyword Extraction from Individual Documents", in Text Mining Applications and Theory, M. W. Berry and J. Kogan, Eds. John Wiley & Sons. 2010, pp: 1-20.
DOI: 10.1002/9780470689646.ch1
[8] M. P. Uddin, A. S. Asa, S. Akter M. D. Hossein, S. K. Roy and M. I. Afjal, "A Comprehensive Survey on Extractive Text Summarization Techniques," American Journal of Engineering Research, vol. 6, no. 1, pp: 226-239.
[9] Y. Chali and S. A. Hasan, "On the Effectiveness of Using Syntactic and Shallow Semantic Tree Kernels for Automatic Assessment of Essays," In Proceedings of Joint Conference on Natural Language Processing, 2013, pp: 767–773.
[10] R. Mihalcea and P. Tarau, "TextRank: Bringing Order into Texts", In Proceedings of 2004 Conference on Empirical Methods in Natural Language Processing, 2004, 404–411.
Published
2018-06-30
How to Cite
MUGHAL, Aqsa Zahid; SAMREEN, Asia. Comprehensive Study of Textual Processing and Proposed Automatic Essay Evaluation System. Journal of Independent Studies and Research-Computing, [S.l.], v. 16, n. 1, p. 21-29, june 2018. ISSN 1998-4154. Available at: <http://jisrc.szabist.edu.pk/index.php/jisrc/article/view/51>. Date accessed: 17 oct. 2019. doi: https://doi.org/10.31645/jisrc/(2018).16.1.03.
Section
Articles