期刊文献+

基于Stanford Parser的实体间关系识别 被引量:8

Relation Extraction Based on Stanford Parser
下载PDF
导出
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。 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.
出处 《现代图书情报技术》 CSSCI 北大核心 2009年第5期1-5,共5页 New Technology of Library and Information Service
基金 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
关键词 语义关系识别 GATE STANFORD Parser关系三元组 Semantic relation extraction GATE Stanford Parser Relation triple
  • 相关文献

参考文献13

  • 1GATE[EB/OL].[2009 -01-10].http://gate.ac.uk/.
  • 2Dimitar 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.
  • 3Proton Ontoloty[EB/OL].[2009 -01 -12].http://proton.semanticweb.org/.
  • 4Philipp C,Johanna V.Text2Onto-A Framework for Ontology Learning and Data-driven Change Discovery[C].In Proceedings of NLDB'05,2005.
  • 5Hearst M A.Automatic Acquisition of Hyponyms from Large Text Corpora[C].In:Proceedings of the 14th International Conference on Computational Linguistics,1992.
  • 6Paul 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.
  • 7Michele 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).
  • 8ACE2008 Evaluation Plan v1.2d[EB/OL].[2009 -01 -12].http://www.nist.gov/speech/tests/ace/2008/doc/ace08-evalplan.v1.2d.pdf.
  • 9Harith 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.
  • 10The Stanford Parser:A Statistical Parser[EB/OL].[2009 -01 -10].http://nlp.stanford.edu/software/lex-parser.shtml

二级参考文献27

  • 1张智雄.信息抽取技术及其在数字图书馆中的应用前景分析[J].现代图书情报技术,2004(6):1-5. 被引量:26
  • 2陈兰,左志宏,熊毅,孟令谦.一种新的基于Ontology的信息抽取方法[J].计算机应用研究,2004,21(8):155-157. 被引量:18
  • 3Message Understanding for Comprehension[EB/OL]. [2007 -05 - 28 ]. http ://www - nlpir, nist. gov/related_projects/muc/.
  • 4Multilingual Entity Task Evaluation [ EB/OL]. [ 2007 - 05 - 28 ]. http://portal, acm. org/citation cfm? id = 1119075.
  • 5Automatic Content Extraction [ EB/OL]. [ 2007 - 05 - 28 ]. http ://www. nist. gov/speech/tests/ace/.
  • 6Document Understanding Conferences [ EB/OL]. [ 2007 - 05 - 28 ]. http://duc, nist. gov/.
  • 7Linguistic Data Conssrtium[ EB/OL]. [ 2007 - 05 - 28 ]. http :// projects, ldc. upenn, edu/ace/.
  • 8ACE2007 Evaluation Plan vl. 3a[ EB/OL]. [2007 -05 -28]. http://www, nist. gov/speech/tests/ace/ace07/doc/ace07 - evalplan. vl. 3a. pdf.
  • 9Eikvil L . Information Extraction from World Wide Web[ EB/OL], [2007 - 05 - 28 ]. http://www, dmresearch, net/download/paper/other - paper - 1/Information% 20Extraction% 20from% 20World% 20Wide% ?,0Web% 20 - % 20A% 20Survey. pdf.
  • 10NIST 2005 Automatic Content Extraction Evaluation Official Results [ EB/OL ]. [ 2007 - 09 - 28 ]. http://www, nist. gov/speech/ tests/ace/ace05/doc/ace05 eval_official_results_20060110, htm.

共引文献5

同被引文献85

引证文献8

二级引证文献18

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部