| 基于KCCA的跨语言专利信息检索研究 |
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| 引用本文： | 刘伟成,张志清,孙吉红.基于KCCA的跨语言专利信息检索研究[J].情报科学,2010(5). |
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| 作者姓名： | 刘伟成 张志清 孙吉红 |
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| 作者单位： | 武汉科技大学管理学院;武汉大学信息管理学院; |
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| 基金项目： | 教育部人文社会科学研究项目(09YJC870024);;湖北省教育厅科学研究计划优秀中青年人才项目(Q20081108) |
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| 摘 要： | 研究了一种全新的基于KCCA算法的全自动跨语言信息检索方法,这种算法能通过学习双语训练语料来获得文献的语义表示(向量空间)。运用KCCA来进行中英跨语言专利检索的实验,结果令人鼓舞,所获得的检索结果明显好于以往的技术方法。
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| 关 键 词： | 核典型相关分析 跨语言信息检索 专利检索 |
Cross-language Patent Retrieval Based on KCCA |
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| LIU Wei-cheng,ZHANG Zhi-qing,SUN Ji-hong.Cross-language Patent Retrieval Based on KCCA[J].Information Science,2010(5). |
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| Authors: | LIU Wei-cheng ZHANG Zhi-qing SUN Ji-hong |
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| Institution: | 1.School of Management/a>;Wuhan University of Science and Technology/a>;Wuhan 430081 China/a>;2.School of Information Management/a>;Wuhan University/a>;Wuhan 430072 China |
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| Abstract: | We study a new machine learning algorithm for cross-language patent retrieval based on KCCA(Kernel Canonical orrelation Analysis).Our learning algorithms exploit the bilingual training documents and learn a semantic representation from them.We study Chinese-English cross-language patent retrieval using KCCA,the results are quite encouraging and are significantly better than those obtained by other state of the art methods. |
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