Enhancing Automatic Chinese Essay Scoring System from Figures-of-Speech

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外文摘要：Chinese automated essay scoring (CAES) is a very important tool for many educational researches' However， none of the methods for retrieving features in English essays is applicable to Chinese writings because Chinese grammar parsers cannot produce reliable and useful syntactic features。 CAES systems must explore other distinct features in Chinese writing。 This paper proposes a method for retrieving two Chinese figures-of-speech from essays and to predict the scores of essays based on the two skills used in the essays。 A scoring model based on ID3 decision tree algorithm will validate and show that the proposed method increases the performance of CAES effectively。

外文关键词：

automated essay scoringfigures-of-speechChinese writingID3

作者：

Tao-Hsing Chang、Chia-Hoang Lee、Yu-Ming Chang

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作者单位：

Research Center for Psychological and Educational Testing, Taiwan Normal University, 10610 Taipei, Taiwan, China

Institute of Computer Science and Engineering, Chiao Tung University, 30010 Hsinchu, Taiwan, China

会议名称：

The 20th Pacific Asia Conference on Language, Information and Computation(PACLIC 20)

会议地点：

Wuhan(CN)

会议母体文献：

Pacific Asia Conference on Language, Information and Computation; 20061101-03; Wuhan(CN)

页码：

P.28-34

出版时间：

2006