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An Effective Automated Essay Scoring System Using Support Vector Regression

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2 Author(s)
Yali Li ; Key Lab. of Speech Acoust. & Content Understanding, Beijing, China ; Yonghong Yan

In this paper, we introduce an effective automated essay scoring system. To implement the system, we extract several features, including the surface features such as the number of words in the essay, number of words longer than 5, and complex features such as grammar checking, sentences, whether the essay is off-topic, the similarity to full-score essays. We get the result of 86% precision given the two scores deviation and average deviation of 0.88 compared to human score on real CET4 data.

Published in:

Intelligent Computation Technology and Automation (ICICTA), 2012 Fifth International Conference on

Date of Conference:

12-14 Jan. 2012