Presentation | 2008-01-21 Grading support system of short essay using SVM Junya MURATA, Daisuke KATAGAMI, Katsumi NITTA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this paper, we aimed to grade a large amount of papers of the short essay (statement type) examinations efficiently and stably. We have developed and evaluated the grading support system including GUI (Graphical User Interface). By analyzing sample papers which were graded by human graders according to each item in the questions, and by making the pattern classification machine called SVM (Support Vector Machine) learn the pairs of the features and the results, this system calculates the grades of the exam papers of most remainder. Moreover, graders confirm and compile them, which makes the final evaluation of the exam papers. Evaluation experiments made it clear that our automatic grading method with steadiness and high accuracy enough to be used practically was realized without background knowledge about the question. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Essay / Automated Scoring / Support Vector Machine |
Paper # | AI2007-29,KBSE2007-39 |
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Committee | KBSE |
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Conference Date | 2008/1/14(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Knowledge-Based Software Engineering (KBSE) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Grading support system of short essay using SVM |
Sub Title (in English) | |
Keyword(1) | Essay |
Keyword(2) | Automated Scoring |
Keyword(3) | Support Vector Machine |
1st Author's Name | Junya MURATA |
1st Author's Affiliation | Tokyo Institute of Technology Interdisciplinary Graduate School of Science and Engineering() |
2nd Author's Name | Daisuke KATAGAMI |
2nd Author's Affiliation | Tokyo Institute of Technology Interdisciplinary Graduate School of Science and Engineering |
3rd Author's Name | Katsumi NITTA |
3rd Author's Affiliation | Tokyo Institute of Technology Interdisciplinary Graduate School of Science and Engineering |
Date | 2008-01-21 |
Paper # | AI2007-29,KBSE2007-39 |
Volume (vol) | vol.107 |
Number (no) | 429 |
Page | pp.pp.- |
#Pages | 6 |
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