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Automated Essay Rater using Natural Language Processing
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 163 - Number 10 |
| Year of Publication: 2017 |
| Authors: Shristi Drolia, Shrey Rupani, Pooja Agarwal, Abheejeet Singh |
10.5120/ijca2017913766
|
Shristi Drolia, Shrey Rupani, Pooja Agarwal, Abheejeet Singh . Automated Essay Rater using Natural Language Processing. International Journal of Computer Applications. 163, 10 ( Apr 2017), 44-46. DOI=10.5120/ijca2017913766
Abstract
This paper proposes a regression based approach for automatically scoring essays that are written in English. We have used standard Natural Language Processing (NLP) techniques for extracting the features from the essays. We extensively evaluate our approach on a benchmark database and demonstrate that the result obtained is comparable to human evaluators while at a much faster rate. We also analyze how the essays are scored to get a better understanding about the proposed approach.
References
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- Rudner, Lawrence M., and Tahung Liang. "Automated essay scoring using Bayes' theorem." The Journal of Technology, Learning and Assessment 1.2 (2002).
- Powers, Donald E., et al. "Stumping E‐Rater: Challenging the validity of automated essay scoring." ETS Research Report Series 2001.1 (2001).
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