基于段落概念间联系的中文作文自动评分

Tao-Hsing Chang, Chia-Hoang Lee
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引用次数: 7

摘要

论文自动评分(AES)系统是教育研究中一个非常重要的研究工具。许多研究表明,当前的AES系统应该能够分析文章的语义特征,并包括更多这样的特征来评分文章。本研究提出了一种新的方法,利用不同文章中段落概念连接之间的相似性来预测文章的分数。初步实验表明,文章中的段落概念结构可以作为文章评分的有效特征。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Automatic Chinese Essay Scoring Using Connections between Concepts in Paragraphs
Automatic essay scoring (AES) system is a very important research tool for educational studies. Many studies indicate that current AES systems should be able to analyze semantic characteristics of an essay and include more such features to score essays. This study proposes a novel method which uses the similarity between the paragraphic conceptual connections in different essays to predict the scores of essays. Preliminary experiments show that the paragraphic conceptual structure in an essay can be an efficient feature for scoring the essay.
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