Short answer scoring system using automatic reference answer generation and geometric average normalized-longest common subsequence (GAN-LCS)-Reference-Cited by-同舟云学术

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Short answer scoring system using automatic reference answer generation and geometric average normalized-longest common subsequence (GAN-LCS)

Published:2018-06-19 Issue:6 Volume:23 Page:2855-2866
ISSN:1360-2357
Container-title:Education and Information Technologies
language:en
Short-container-title:Educ Inf Technol

Author:

Pribadi Feddy Setio,Permanasari Adhistya Erna,Adji Teguh Bharata

Publisher

Springer Science and Business Media LLC

Subject

Library and Information Sciences,Education

Link

http://link.springer.com/article/10.1007/s10639-018-9745-z/fulltext.html

Reference23 articles.

1. Adhitia, R., Purwarianti, A., & Bandung, I. T. (2009). Automated essay grading system using SVM and LSA for essay answers in Indonesian. Journal of Information Systems, 5(1), 33–41.

2. Bachman, L. F., et al. (2002). A reliable approach to automatic assessment of short answer free responses. Proceedings of the 19th International Conference on Computational Linguistics, 2, 1–4.

3. Burrows, S., Gurevych, I., & Stein, B. (2015). The eras and trends of automatic short answer grading. International Journal of Artificial Intelligence in Education, 25(1), 60–117.

4. Carbonell, J., & Goldstein, J. (1998). The use of MMR, diversity-based reranking for reordering documents and producing summaries. In Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR ‘98 (pp. 335–336).

5. Evans, J. D. (1996). Straightforward statistics for the behavioral sciences. Pacific Grove: Brooks/Cole Pub. Co.

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