摘要
相似度计算是自动问答领域里的重要内容。为了保证候选答案集中各答案能具备合理的排序,解决传统自动问答系统不能高效的综合评价相似度问题,提出利用综合指数法对关键词相似度、语义相似度等进行综合评价,得到综合相似度。并针对部分候选答案冗余信息过多,不利于答案提取的情况,设计了衰减相似度参数,用来解决句子冗余信息对答案提取的影响。实验结果表明,综合指数法的相似度算法能够有效的提高问答的正确率。
The similarity calculation is an important part in the field of automatic question answering.In order to ensure the candidate answers can have a reasonable sort,solve the traditional automatic answering system is not efficient evaluation of similarity problem,comprehensive index method is proposed to carry out a comprehensive evaluation keywords similarity and semantic similarity,the result is integrated similarity.Against part of the candidate answers have too many redundant information and not conducive to the answer extraction,designed attenuation similarity parameters,used to address the impact of the sentence redundant information extracted from the answers.Experimental results show that composite index method of similarity algorithm can effectively improve the accuracy rate of the questions and answers.
出处
《现代情报》
CSSCI
2013年第3期129-131,共3页
Journal of Modern Information
基金
黑龙江省文化厅图书馆学科研课题项目(项目编号:11D043)
黑龙江省高等教育学会高等教育科学研究"十二五"规划青年专项课题项目(项目编号:HGJXHC110086)
关键词
自动问答
答案抽取
相似度
综合指数法
question answering
answer extraetion
similarity
comprehensive index method