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

Jeong Eun Kim; Kinam Park; Jeong Min Chae; Hong Jun Jang; Byoung Wook Kim; Soon Young Jung

doi:10.1007/s00500-017-2772-7

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

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

Research output: Contribution to journal › Article › peer-review

8 Citations (Scopus)

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.

Original language	English
Pages (from-to)	4241-4249
Number of pages	9
Journal	Soft Computing
Volume	22
Issue number	13
DOIs	https://doi.org/10.1007/s00500-017-2772-7
Publication status	Published - 2018 Jul 1

Bibliographical note

Funding Information:
Acknowledgements This research was supported by the Special Research Fund of College of Education, Korea University in 2013.

Publisher Copyright:
© 2017, Springer-Verlag GmbH Germany.

Keywords

Automatic scoring
Korean short descriptive answer
Lexical semantic pattern
Synonym

ASJC Scopus subject areas

Theoretical Computer Science
Software
Geometry and Topology

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10.1007/s00500-017-2772-7

Cite this

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title = "Automatic scoring system for short descriptive answer written in Korean using lexico-semantic pattern",

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{\textquoteright}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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AU - Chae, Jeong Min

AU - Jang, Hong Jun

AU - Kim, Byoung Wook

AU - Jung, Soon Young

N1 - Funding Information: Acknowledgements This research was supported by the Special Research Fund of College of Education, Korea University in 2013. Publisher Copyright: © 2017, Springer-Verlag GmbH Germany.

PY - 2018/7/1

Y1 - 2018/7/1

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

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

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