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Soft Computing

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17.08.2017 | Focus

Automatic scoring system for short descriptive answer written in Korean using lexico-semantic pattern

verfasst von: Jeong-Eun Kim, Kinam Park, Jeong-Min Chae, Hong-Jun Jang, Byoung-Wook Kim, Soon-Young Jung

Erschienen in: Soft Computing | Ausgabe 13/2018

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Abstract

The researches on the automatic scoring system for English descriptive answers have been actively performed, but there are not so many researches on the automatic scoring system for Korean descriptive answers. In this paper, we propose an scoring method based on lexico-semantic pattern (LSP), which is known to be a good solution for the morphologically rich Korean language. In the proposed method, postposition information is utilized as an important tool for finding the meaning differences in Korean. In addition to using LSP, we also applied a synonym dictionary as a meaning extension approach to improve recall performance in scoring student’s answer. Our experimental result shows that the proposed system performs better than the existing noun-keyword-based system by 0.137. Also, the best performance could be obtained by using a synonym dictionary.

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Titel: Automatic scoring system for short descriptive answer written in Korean using lexico-semantic pattern
verfasst von: Jeong-Eun Kim
Kinam Park
Jeong-Min Chae
Hong-Jun Jang
Byoung-Wook Kim
Soon-Young Jung
Publikationsdatum: 17.08.2017
Verlag: Springer Berlin Heidelberg
Erschienen in: Soft Computing / Ausgabe 13/2018
Print ISSN: 1432-7643
Elektronische ISSN: 1433-7479
DOI: https://doi.org/10.1007/s00500-017-2772-7

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