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语句相似度计算在主观题评判中的应用
引用本文:于淼,王日宏.语句相似度计算在主观题评判中的应用[J].计算机应用,2008,28(12):3254-3256.
作者姓名:于淼  王日宏
作者单位:青岛理工大学,计算机工程学院,山东,青岛,266033
基金项目:建没部研究开发项目  
摘    要:在网络考试系统中对主观题自动评判运用自然语言识别技术是计算机领域的一个研究热点。结合中文分词方法,在基于《知网》知识库的词语相似度算法的基础上,运用数学上求解最优指派问题的匈牙利算法建立句子和句群的相似度计算模型,并根据句子相似度值给出主观题正确分数评判。

关 键 词:自动评判  中文分词  相似度模型  匈牙利算法
收稿时间:2008-06-23

Application of sentence similarity measurement in automated assessment of subjective tests
YU Miao,WANG Ri-hong.Application of sentence similarity measurement in automated assessment of subjective tests[J].journal of Computer Applications,2008,28(12):3254-3256.
Authors:YU Miao  WANG Ri-hong
Affiliation:YU Miao,WANG Ri-hongCollege of Computer Engineering,Qingndao Technological University,Qingdao Sh,ong 266033,China
Abstract:Trying to use the natural language in the automated assessment of network examination system has become a research hotpot in computer area. Referring to Chinese word segmentation, the sentence similarity calculation model was established by using the model of words semantic similarity based on HowNet and sentence semantic similarity model based on Hungary algorithm. In accordance with the sentence similarity, the correct value was evaluation scores for automated assessment.
Keywords:automated assessment  Chinese word segmentation  similarity model  Hungarian algorithm
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