標題: Enhancing automatic Chinese essay scoring system from figures-of-speech
作者: Chang, Tao-Hsing
Lee, Chia-Hoang
Chang, Yu-Ming
資訊工程學系
Department of Computer Science
關鍵字: automated essay scoring-;figures-of-speech;Chinese writing;ID3
公開日期: 1-Jan-2006
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.
URI: http://hdl.handle.net/11536/146389
期刊: PACLIC 20: PROCEEDINGS OF THE 20TH PACIFIC ASIA CONFERENCE ON LANGUAGE, INFORMATION AND COMPUTATION
起始頁: 28
結束頁: 34
Appears in Collections:Conferences Paper