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使用种子抽取实体关系模式 被引量:1

Using Seeds to Extract Entity Relation Pattern
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摘要 识别句子中实体关系是信息抽取的重要技术。研究了汉语实体关系模式的自动获取技术。在基于种子方法的思想上,结合汉语在语义表达上的多样性特征,使用机器学习方法来自动发现新模式。实验表明,该方法在人工干预很少的情况下,能较为准确的发现新模式,且可以在不同抽取领域内快速移植。因此该方法对于汉语实体关系识别具有一定价值。 Identifying entity relation of sentence is important technology of information extraction. Study the technology of obtaining Chinese entity relation pattern automatically. Based on the idea of seed method, and combining feature of Chinese expressing, using machine learning to find new patterns. Experiment show the method can find new pattern effectively under very small manual work, and it can be transplanted quickly in different extract region. So it has some value to identifying Chinese entity relation.
作者 邓擘 郑彦宁
出处 《计算机与数字工程》 2009年第9期110-112,132,共4页 Computer & Digital Engineering
基金 国家自然科学基金青年项目"基于句子匹配分析的知识抽取研究与实现"(编号:70803048)资助
关键词 信息抽取 实体关系 模式匹配 相似度 information extraction, entity relation, pattern match, similarity
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参考文献8

  • 1Eugene Agichtein, Luis Gravano. Snowball: extracting relations from large plain-text collections [C]. ACM DL 2000 : 85.
  • 2Xu, F. H. Minimally supervised learning of relation extraction rules using semantic seeds. A seminar talk at the National Center for Text Mining.
  • 3Xu, F. , H. Uszkoreit, H. Li. A seed-driven bottom-up machine learning framework for extracting relations of various complexity[C]. ACL, 2007 : 584.
  • 4Dekan Lin, Patrick Pantel. Discovery of inference rules for question answering[J]. Natural Language Engineering, 2001, (7): 343.
  • 5M. Stevenson, M. Greenwood. Learning Information Extraction Patterns using WordNet[C]. GWNC,2006:52.
  • 6M. Stevenson, M. Greenwood. A Semantic Approach to IE Pattern Induction[C]. In Proceedings of the 43rd Annual Meeting of the Association for Computational Linguistics, : 379.
  • 7Zhou Guo Dong, Su Jian. Exploring Various Knowledge in Relation Extraction[C]. ACL,2005.
  • 8吴健,吴朝晖,李莹,邓水光.基于本体论和词汇语义相似度的Web服务发现[J].计算机学报,2005,28(4):595-602. 被引量:218

二级参考文献15

  • 1吴健,蔡铭,唐敏,董金祥.网络制造中Web Service的服务质量模糊排序方法[J].计算机辅助设计与图形学学报,2005,17(7):1593-1599. 被引量:9
  • 2Paolucci M., Kawamura T., Payne T.R., Sycara K. Semantic matching of Web services capabilities. In: Proceedings of the 1st International Semantic Web Conference (ISWC) , Sardinia, Italia, 2002, 34~43
  • 3Wu Zhao-Hui, Chen Hua-Jun et al. DartGrid: Semantic- based database grid. Lecture Notes in Computer Science 3036, 2004, 59~66
  • 4Deng Shui-Guang, Wu Zhao-Hui, Kuang Li, Lin Chuan, Jin Yue-Ping, Chen Zhi-Wei, Yan Shi-Feng, Li Ying. Management of service flow in a flexible way. Lecture Notes in Computer Science 3036, 2004, 428~438
  • 5Deng Shui-Guang, Yu Zhen, Wu Zhao-Hui, Huang Lican. Enhancement of workflow flexibility by composing activities at run-time. SAC, 2004, 667~673
  • 6Dipanjan Chakraborty, Filip Perich, Sasikanth Avancha et al. DReggie. Semantic service discovery for M-Commerce applications. In: Proceedings of the Workshop on Reliable and Secure Applications in Mobile Environment, 20th Symposium on Reliable Distributed Systems, New Orleans, USA, 2001, 10: 28~31
  • 7Terry R Payne, Massimo Paolucci, Katia Sycara. Advertising and matching DAML-S service descriptions. In: Proceedings of the International Semantic Web Working Symposium (SWWS). Amsterdam: IOS Press, 2001, 411~430
  • 8Klein M., Bernstein A. Searching services on the semantic Web using process ontologies. In: Proceedings of the International Semantic Web Working Symposium (SWWS). Amsterdam: IOS Press, 2001, 159~172
  • 9David Trastour, Claudio Bartolini, Javier Gonzalez-Castillo. A semantic Web approach to service description for matchmaking of services. In: Proceedings of the International Semantic Web Working Symposium (SWWS). Amsterdam: IOS Press, 2001, 447~461
  • 10Gonzalez-Castillo J., Trastour D., Bartolini C. Description logics for matchmaking of services. In: Proceedings of Workshop on Application of Description Logics (KI 2001), Vienna, Austria, 2001, 582~586

共引文献217

同被引文献8

  • 1刘迁,焦慧,贾惠波.信息抽取技术的发展现状及构建方法的研究[J].计算机应用研究,2007,24(7):6-9. 被引量:41
  • 2陆汝占.中文检索与汉语语义概念图表示[C].第十届全国计算语言学学术会议文集,2009,山东烟台.
  • 3Marti A Hearst. Automatic acquisition of hyponyms from large text corpora. Computer Science Division,1992:539 -542.
  • 4程晓,郑德权,杨宇航,等.面向版结构化文本的领域本体关系抽取[C]//全国计算语言学学术会议.北京:清华大学出版社,2009:376-381.
  • 5ACE. 2007. The nist ace evaluation website, http://www, hist. gov/ speech/tests/ace/ace07/.
  • 6刘慧.信息检索中用户需求的概念分析研究[D].上海:上海交通大学,2008.
  • 7郭绍虞.同义词词林[M].上海:上海辞书出版社,1982.
  • 8陆汝占,靳光瑾.现代汉语研究的新视角[J].语言文字应用,2004(2):93-98. 被引量:6

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