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An Automated Scoring Tool for Korean Short-Answer Questions Based on Semi-Supervised Learning
| Content Provider | Semantic Scholar |
|---|---|
| Author | Cheon, Min-Ah Maritime, Korea Seo, Hyeong-Won Kim, Jae-Hoon Noh, Eun-Hee Sung, Kyung-Hee Lim, Eun Yong |
| Copyright Year | 2015 |
| Abstract | Scoring short-answer questions has disadvantages that may take long time to grade and may be an issue on consistency in scoring. To alleviate the disadvantages, automated scoring systems are widely used in America or Europe, but, in Korea, there has been researches regarding the automated scoring. In this paper, we propose an automated scoring tool for Korean short-answer questions using a semisupervised learning method. The answers of students are analyzed and processed through natural language processing and unmarked-answers are automatically scored by machine learning methods. Then scored answers with high reliability are added in the training corpus iteratively and incrementally. Through the pilot experiment, the proposed system is evaluated for Korean and social subjects in Programme for National Student Assessment. We have showed that the processing time and the consistency of grades are promisingly improved. Using the proposed tool, various assessment methods have got to be development before applying to school test fields. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://aclweb.org/anthology/W15-4409 |
| Alternate Webpage(s) | http://www.aclweb.org/anthology/W/W15/W15-4409.pdf |
| Alternate Webpage(s) | http://anthology.aclweb.org/W/W15/W15-4409.pdf |
| Alternate Webpage(s) | http://wing.comp.nus.edu.sg/~antho/W/W15/W15-4409.pdf |
| Alternate Webpage(s) | http://aclweb.org/anthology//W/W15/W15-4409.pdf |
| Alternate Webpage(s) | http://aclweb.org/anthology/W/W15/W15-4409.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
