TY - GEN
T1 - Automated chinese essay scoring from topic perspective using regularized latent semantic indexing
AU - Hao, Shudong
AU - Xu, Yanyan
AU - Peng, Hengli
AU - Su, Kaile
AU - Ke, Dengfeng
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/12/4
Y1 - 2014/12/4
N2 - Finding out an effective way to score Chinese written essays automatically remains challenging for researchers. Several methods have been proposed and developed but limited in the character and word usage levels. As one of the scoring standards, however, content or topic perspective is also an important and necessary indicator to assess an essay. Therefore, in this paper, we propose a novel perspective - topic, and a new method integrating topic modeling strategy called Regularized Latent Semantic Indexing to recognize the latent topics and Support Vector Machines to train the scoring model. Experimental results show that automated Chinese essay scoring from topic perspective is effective which can improve the rating agreement to 89%.
AB - Finding out an effective way to score Chinese written essays automatically remains challenging for researchers. Several methods have been proposed and developed but limited in the character and word usage levels. As one of the scoring standards, however, content or topic perspective is also an important and necessary indicator to assess an essay. Therefore, in this paper, we propose a novel perspective - topic, and a new method integrating topic modeling strategy called Regularized Latent Semantic Indexing to recognize the latent topics and Support Vector Machines to train the scoring model. Experimental results show that automated Chinese essay scoring from topic perspective is effective which can improve the rating agreement to 89%.
KW - Automated Chinese essay scoring
KW - Classification application
KW - Document understanding
KW - Topic modeling application
UR - http://www.scopus.com/inward/record.url?scp=84919934125&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84919934125&partnerID=8YFLogxK
U2 - 10.1109/ICPR.2014.533
DO - 10.1109/ICPR.2014.533
M3 - Conference contribution
AN - SCOPUS:84919934125
T3 - Proceedings - International Conference on Pattern Recognition
SP - 3092
EP - 3097
BT - Proceedings - International Conference on Pattern Recognition
T2 - 22nd International Conference on Pattern Recognition, ICPR 2014
Y2 - 24 August 2014 through 28 August 2014
ER -