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一种基于概念匹配度模型的中文问答系统

Chinese question answer system based on the model of the conceptual matching degree
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摘要 答案抽取是问答系统的核心部分,本文根据汉语本身的特点,采用了本体论方法,借鉴了概念格的思想,提出了一种基于概念匹配度模型的中文问答系统。该系统通过计算与问题概念节点的匹配度,就可以抽取出查询问题的答案。该模型采用了定量计算,缩短了问题—答案匹配时间,并通过实例证明了该模型是有效的。 Answer extracting is central to question answer system. Chinese question answer system based on the model of the conceptual matching degree was put forward by using the ontological approach and using for reference from the concept lattice. This model can extract satisfied answer by calculating matching degree. The model adopts quantitative calculation and reduces the problem- - answer matching time.
作者 李静 宋振明
出处 《河北工程大学学报(自然科学版)》 CAS 2008年第2期101-103,共3页 Journal of Hebei University of Engineering:Natural Science Edition
关键词 概念匹配度 概念格 问答系统 相似度 conceptual matching degree concept lattice question answer system similarity
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  • 1Graesser A. C., Wiemer-Hastings K., Wiemer - Hastings P., et al.. AutoTutor: A Simulation of A Human Tutor[J]. Journal of Cognitive Systems Research , 1999, 1 : 35 - 51.
  • 2Hu, X., Cai, Z., Louwerse, M., et al.. A Revised Algorithm for Latent Semantic Analysis [A]. In: Proceedings of the 2003 International Joint Conference on Artificial Intelligenee [C], 2003, 1489- 1491.
  • 3Cai, Z., McNamara, D. S. , Louwerse, M. M., Hu, X., Rowe, M. , & Graesser, A. C. (2004). NLS: A Non-Latent Similarity Algorithm [A]. K. Forbus, D. Gentner, & T. Reiger. Proceedings of the 26th Annual Meeting of the Cognitive Science Society [C]. NJ: Erlbaum, 2004, 180- 185.
  • 4Preslav Nakov, Antonia Popova, Plamen Mateev. Weight Functions Impact on LSA Performance[A]. In: Proceeding of EuroConference RANLP' 2001 [ C ]. Tzigov Chark, Bulgaria, 187- 193.
  • 5Hu, X., Cai, Z., Franeeschetti, D., et al.. LSA: The First Dimension and Dimensional Weighting [A]. R. Alterman and D. Hirsh. Proceedings of the 25th Annual Conference of the Cognitive Science Society [C]. Boston,MA: Cognitive Science Society, 2003, 1 - 6.
  • 6刁倩,王永成,张惠惠,何骥.文本自动分类中的词权重与分类算法[J].中文信息学报,2000,14(3):25-29. 被引量:27
  • 7鲁松,李晓黎,白硕,王实.文档中词语权重计算方法的改进[J].中文信息学报,2000,14(6):8-13. 被引量:120
  • 8吴科,石冰,卢军,牛小飞.基于文本集密度的特征选择与权重计算方案[J].中文信息学报,2004,18(1):42-47. 被引量:8

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