摘要
汉语句子的相似度计算是中文信息处理中的一个关键问题,也是自动阅卷系统中文字类主观题自动阅卷急需解决的核心问题。在词性、词义以及句子深层结构的基础上提出一种多层次结构句子相似度算法。该算法在自动阅卷系统中的应用能优化文字类主观题的自动评阅功能,提高自动批改的效率及准确性,具有较强的实用价值,并在实际的应用中已取得了较好的效果。
Similarity computation of Chinese words is a key problem in Chinese information processing and it is urgent to be solved the core problem in the automated assessment of the subjective test. This paper proposes a new multi-layer sentence similarity computation approach which is based on word PoS, word meaning and deep strueture of the sentence. Because it can improve the efficiency and the accuracy of automatic check about the subjective questions, this method can optimizate marking algorithm and has the most practical value to a certain degree which is used in the automated assessment of the subjective test. In practical application has been made in the good results.
出处
《计算机应用与软件》
CSCD
2009年第10期180-182,202,共4页
Computer Applications and Software
关键词
多层次结构
自动阅卷
句子相似度
贴近度
动态规划
Multi-layer structure Automatic scoring Sentence similarity Closity Dynamic programming