| Presentation | 2017-09-08 A Study of Extracting Related Documents for Essay Evaluation Modules Kota Motojin, Koichi Takeuchi, Masayuki Ohno, Masahiro Taguchi, Yoshihiko Inada, Masaya Iiduka, Tatsuhiko Abo, Hitoshi Ueda, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | We are developing an automatic Japanese essay-scoring system that is composed of 4 evaluation criteria, comprehensiveness, logical consistency, validity, spelling and grammar. In this paper, we discuss the most powerful approach to extract documents of Wikipedia that relates to the reference texts of the target essay theme for validity evaluation. The reason for using Wikipedia documents for evaluating validity of students’ essays is that we assume that validity can be evaluated by the expanded discussions in Wikipedia documents that relates to the essay theme. Experimental results show that the skip-gram based word vector is the best approach to extract relating documents to reference texts among several keyword-based evaluation approaches. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Automatic scoring of answers of essay-writing tests / Word vector / Skip-gram / Wikipedia |
| Paper # | NLC2017-24 |
| Date of Issue | 2017-08-31 (NLC) |
| Conference Information | |
| Committee | NLC |
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| Conference Date | 2017/9/7(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Seikei University |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | The Eleventh Text Analytics Symposium |
| Chair | Hiroshi Kanayama(IBM) |
| Vice Chair | Takeshi Sakaki(Hottolink) / Kazutaka Shimada(Kyushu Inst. of Tech.) |
| Secretary | Takeshi Sakaki(Ryukoku Univ.) / Kazutaka Shimada(NTT) |
| Assistant | Mitsuo Yoshida(Toyohashi Univ. of Tech.) / Takeshi Kobayakawa(NICT) |
| Paper Information | |
| Registration To | Technical Committee on Natural Language Understanding and Models of Communication |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Study of Extracting Related Documents for Essay Evaluation Modules |
| Sub Title (in English) | |
| Keyword(1) | Automatic scoring of answers of essay-writing tests |
| Keyword(2) | Word vector |
| Keyword(3) | Skip-gram |
| Keyword(4) | Wikipedia |
| 1st Author's Name | Kota Motojin |
| 1st Author's Affiliation | Okayama University(Okayama Univ) |
| 2nd Author's Name | Koichi Takeuchi |
| 2nd Author's Affiliation | Okayama University(Okayama Univ) |
| 3rd Author's Name | Masayuki Ohno |
| 3rd Author's Affiliation | Okayama University(Okayama Univ) |
| 4th Author's Name | Masahiro Taguchi |
| 4th Author's Affiliation | Okayama University(Okayama Univ) |
| 5th Author's Name | Yoshihiko Inada |
| 5th Author's Affiliation | Okayama University(Okayama Univ) |
| 6th Author's Name | Masaya Iiduka |
| 6th Author's Affiliation | Okayama University(Okayama Univ) |
| 7th Author's Name | Tatsuhiko Abo |
| 7th Author's Affiliation | Okayama University(Okayama Univ) |
| 8th Author's Name | Hitoshi Ueda |
| 8th Author's Affiliation | Okayama University(Okayama Univ) |
| Date | 2017-09-08 |
| Paper # | NLC2017-24 |
| Volume (vol) | vol.117 |
| Number (no) | NLC-207 |
| Page | pp.pp.47-51(NLC), |
| #Pages | 5 |
| Date of Issue | 2017-08-31 (NLC) |