Computer Science ›› 2018, Vol. 45 ›› Issue (6): 183-186.doi: 10.11896/j.issn.1002-137X.2018.06.032
• Artificial Intelligence • Previous Articles Next Articles
HAN Zhao1,3, MIAO Duo-qian1,2, REN Fu-ji2,3
CLC Number:
[1]MILLER E.An Introduction to the Resource Description Frame-work[J].Journal of Library Administration,2001,34(3/4):245-255. [2]DU Z Y,YANG Y,HE L,et al.Question answering system of electric business field based on chinese knowledge map[J].Computer Applications and Software,2017,34(5):153-159.(in Chinese) 杜泽宇,杨燕,贺樑,等.基于中文知识图谱的电商领域问答系统[J].计算机应用与软件,2017,34(5):153-159. [3]ZHANG K L,LI W G,WANG H L,et al.Ontology-based Question Answering System for Aviation Domain[J].Journal of Chinese Information Processing,2015,29(4):192-198.(in Chinese) 张克亮,李伟刚,王慧兰,等.基于本体的航空领域问答系统[J].中文信息学报,2015,29(4):192-198. [4]XIE Z,ZENG Z,ZHOUG,et al.Topic enhanced deep structured semantic models for knowledge base question answering[J].Scien-ce China(Information & Sciences),2017,60(11):110103. [5]ZHAN C D,LING Z H,DAI L R.Learning Word Embeddings for Paraphrase Scoring in Knowledge Base Based Question An-swering[J].Pattern Recognition and Artificial Intelligence,2016,29(9):825-831.(in Chinese) 詹晨迪,凌震华,戴礼荣.面向知识库问答中复述问句评分的词向量构建方法[J].模式识别与人工智能,2016,29(9):825-831. [6]ZENG S,WANG S,YUAN Y,et al.Towards Knowledge Automation:A Survey on Question Answering Systems[J].Acta Automatica Sinica,2017,43(9):1491-1508.(in Chinese) 曾帅,王帅,袁勇,等.面向知识自动化的自动问答研究进展[J].自动化学报,2017,43(9):1491-1508. [7]LIU K,ZHANG Y Z,JI G L,et al.Representation Learning for Question Answering over Knowledge Base:An Overview[J].Acta Automatica Sinica,2016,42(6):807-818.(in Chinese) 刘康,张元哲,纪国良,等.基于表示学习的知识库问答研究进展与展望[J].自动化学报,2016,42(6):807-818. [8]WANG Y,REN F J,QUAN C Q.Review of Dialogue Management Methods in Spoken Dialogue System[J].Computer Scien-ce,2015,42(6):1-7,27.(in Chinese) 王玉,任福继,全昌勤.口语对话系统中对话管理方法研究综述[J].计算机科学,2015,42(6):1-7,27. [9]ZHANG Z Z,MIAO D Q,YUE X D.Similarity measure for short texts using topic models and rough sets[J].Journal of Computational Information Systems,2013,9(16):6603-6611. [10]YI G X,HU H P.A Web Search Result Clustering Based on Tolerance Rough Set[J].Journal of Computer Research and Development,2006,43(2):275-280.(in Chinese) 易高翔,胡和平.一种基于容错粗糙集的Web搜索结果聚类方法[J].计算机研究与发展,2006,43(2):275-280. [11]LIU H,LIU D Y,PEI Z L,et al.A Feature Weighting Scheme for Text Categorization Based on Feature Importance[J].Journal of Computer Research and Development,2009,46(10):1693-1703.(in Chinese) 刘赫,刘大有,裴志利,等.一种基于特征重要度的文本分类特征加权方法[J].计算机研究与发展,2009,46(10):1693-1703. [12]THANH N C,YAMADA K.Document Representation and Clustering with WordNet Based Similarity Rough Set Model[J].International Journal of Computer Science Issues,2011,8(5):1-8. [13]FAN T F,LIAU C J.Rough set-based concept mining from social networks[C]//IEEE International Conference on Fuzzy Systems.IEEE,2016:663-670. [14]CAO L,HUANG G,CHAI W.A knowledge discovery model for third-party payment networks based on rough set theory[J].Journal of Intelligent & Fuzzy Systems,2017,33(1):1-9. [15]DAI R,DUAN X.Research on Knowledge Acquisition of Motorcycle Intelligent Design System Based on Rough Set[M]//Computer and Computing Technologies in Agriculture V.Springer Berlin Heidelberg,2012:16-27. [16]CHEN X G,DUAN S,WANG L D.Research on trend prediction and evaluation of network public opinion[J].Concurrency &Computation Practice & Experience,2017,29(4):e4212. [17]苗夺谦,李道国.粗糙集理论、算法与应用[M].北京:清华大学出版社,2008. [18]PAWLAK Z.Rough set approach to knowledge-based decision support[J].European Journal of Operational Research,1997,99(1):48-57. [19]HUANG X,WEI B,ZHANG Y.Automatic Question-Answering Based on Wikipedia Data Extraction[C]//International Conference on Intelligent Systems and Knowledge Engineering.IEEE,2016:314-317. [20]https://github.com/huangxiangzhou/NLPCC2016KBQA. [21]DUAN N.Overview of the NLPCC-ICCPOL 2016 Shared Task:Open Domain Chinese Question Answering[C]//International Conference on Computer Processing of Oriental Languages.Springer International Publishing.2016:942-948. [22]PEDREGOSA F,GRAMFORT A,MICHEL V,et al.Scikitlearn:Machine Learning in Python[J].Journal of Machine Learning Research,2011,12(10):2825-2830. |
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