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基于语义相似度的主观题评分算法研究
Algorithm of subjective item marking based on semantic similarity
【摘要】 主观题阅卷系统在目前较受人们的关注。主观题评分原则常见的是对比试卷答案与参考答案的相似程度,进而得出分数。利用自然语言处理分词技术将文本切分为词的组合,然后通过改进语义相似度算法,计算句子相似度,进而得到试卷答案和参考答案的相似程度,给出分数。
【Abstract】 Subjective item marking system has been a study focus.The common method is to contrast the answers with the reference answers to form a score.This paper uses the technology of natural language processing participle to divide a sentence into the assemble of phrases,and then get the score by computing a sentence similarity degree with improved semantic similarity algorithm.
- 【文献出处】 河北科技大学学报 ,Journal of Hebei University of Science and Technology , 编辑部邮箱 ,2012年03期
- 【分类号】TP391.1
- 【被引频次】14
- 【下载频次】219