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现代图书情报技术  2009, Vol. 25 Issue (5): 1-5     https://doi.org/10.11925/infotech.1003-3513.2009.05.01
  专题 本期目录 | 过刊浏览 | 高级检索 |
基于Stanford Parser的实体间关系识别
刘建华1,张智雄1
1(中国科学院国家科学图书馆 北京 100190)
2(中国科学院研究生院 北京 100049)
Relation Extraction Based on Stanford Parser
Liu Jianhua 1,Zhang Zhixiong 1
1(National Science Library, Chinese Academy of Sciences, Beijing 100190, China)
2(Graduate University of Chinese Academy of Sciences, Beijing 100049, China)
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摘要 

分析当前基于GATE等开源工具进行关系识别的研究,提出利用GATE和Stanford Parser构建开放式实体间语义关系识别的Rela Pair模型。实验表明,该模型可以有效识别出由动词或介词所引导的命名实体关系三元组,为后续的情报分析工作提供重要支撑。

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刘建华
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关键词 语义关系识别GATEStanford Parser关系三元组    
Abstract

Following the review of some relation extraction researches based on GATE, this paper brings forward an open relation extraction model based on GATE and Stanford Parser. It is proved that the model can extract the relation triple guided by verb or preposition effectively, which will have an important impact on intelligence analysis.

Key wordsSemantic relation extraction    GATE    Stanford Parser    Relation triple
收稿日期: 2009-03-30      出版日期: 2009-05-25
: 

G250.73

 
基金资助:

*本文系国家“十一五”科技支撑计划子课题“网络科技信息监测与评价”(项目编号:2006BAH03B05)的研究成果之一。

通讯作者: 刘建华     E-mail: liujh@mail.las.ac.cn
作者简介: 刘建华,张智雄
引用本文:   
刘建华,张智雄. 基于Stanford Parser的实体间关系识别[J]. 现代图书情报技术, 2009, 25(5): 1-5.
Liu Jianhua ,Zhang Zhixiong. Relation Extraction Based on Stanford Parser. New Technology of Library and Information Service, 2009, 25(5): 1-5.
链接本文:  
https://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/10.11925/infotech.1003-3513.2009.05.01      或      https://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/Y2009/V25/I5/1

[1] GATE [EB/OL].[2009-01-10]. http://gate.ac.uk/.
[2] Dimitar M, Borislav P.SEKT sekt-d-2-4-1-Metadata Annotation Tools. D2.6.1 Massive Automatic Annotation[EB/OL]. [2009-01-12]. http://www.sti-innsbruck.at/fileadmin/documents/deliverables/Sekt/sekt-d-2-6-1-Massive_Automatic_Annotation_V1.pdf.
[3] Proton Ontoloty[EB/OL]. [2009-01-12]. http://proton.semanticweb.org/.
[4] Philipp C, Johanna V. Text2Onto - A Framework for Ontology Learning and Data-driven Change Discovery[C]. In Proceedings of NLDB’05, 2005.
[5]Hearst M A. Automatic Acquisition of Hyponyms from Large Text Corpora[C].In: Proceedings of the 14th International Conference on Computational Linguistics, 1992.
[6] Paul B, Philipp C, Stefania R, et al. Ontology-based Information Extraction with SOBA[EB/OL]. [2009-01-12]. http://www.dfki.de/~paulb/lrec2006.SmartWeb.pdf.
[7] Michele B, Michael J C, Stephen S, et al. Open Information Extraction from the Web [C].In:Proceedings of the 20th International Joint Conference on Artificial Intelligence (IJCAI 2007).
[8] ACE2008 Evaluation Plan v1.2d[EB/OL]. [2009-01-12].http://www.nist.gov/speech/tests/ace/2008/doc/ace08-evalplan.v1.2d.pdf.
[9] Harith A, Sanghee K, David E M, et al. Automatic Extraction of Knowledge from Web Documents[EB/OL]. [2009-01-10]. http://www.gate.ac.uk/conferences/iswc2003/proceedings/alani.pdf.
[10] The Stanford Parser: A Statistical Parser[EB/OL]. [2009-01-10]. http://nlp.stanford.edu/software/lex-parser.shtml
[11] Marie-Catherine De Marneffe, Christopher D M. Stanford Typed Dependencies Manual[EB/OL]. [2009-01-10]. http://nlp.stanford.edu/software/dependencies_manual.pdf.
[12] ScienceDaily [EB/OL]. [2009-01-10].http://www.ScienceDaily.com/.
[13] 赵琦,刘建华,冯浩然.从ACE会议看信息抽取技术的发展趋势[J].现代图书情报技术, 2008(3): 18-23.

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