期刊文献+

客观知识体系中基于语义域的语义关系组合分类模型研究 被引量:1

Research on Classification Model for Combination of Semantic Relations Based on Semantic Domain in in Objective Knowledge System
下载PDF
导出
摘要 当前对客观知识体系中语义关系组合方面的研究相对较少,且目前都无法为任意两个相邻语义关系的组合提供判断依据。由于现有的客观知识体系中偶然存在着大量的有组合结果的语义关系组合样本数据的存在,使本文采用分类模型来研究语义关系的组合问题成为可能。此外,本文将语义域引入语义关系组合分类模型,为语义关系组合模型研究提供了一个新的途径。所以,本文从特征项抽取构造和模型构造两方面人手来建立基于语义域的语义关系组合模型,并从整体准确率、各个组合结果的准确率和前人结论的准确率三个方面对实验结果进行分析,归纳出了基于语义域的语义关系组合规律和研究的局限性。 Little research is known about the combination of semantic relations in the objective knowledge system before. Moreover, at present, there is no judgment basis for the combination of any two adjacent semantic relations. While there is a lot of sample data of the combination of semantic relations which has combination result in the objective knowledge system, it made it possible to study the combination of semantic relations using classification model. In addition, this paper introduced the semantic domain which provides a new way for the research on the combination of semantic relations. So this paper established the combination model of semantic relations based on the semantic domain from the two aspects : feature extraction and the model construction, then the experimental results were analyzed from three aspects: whole rate of accuracy, the accuracy of each combination the results and the accuracy of former conclusion. In the end, combination rules and the limitations of the study based on semantic domain were generalized.
作者 裘江南 张彬
出处 《情报学报》 CSSCI 北大核心 2012年第6期564-573,共10页 Journal of the China Society for Scientific and Technical Information
基金 国家自然科学基金(No.71073017).
关键词 语义关系组合分类模型语义域 combination of semantic relations, classification model, semantic domain
  • 相关文献

参考文献32

  • 1Allwood J,Andersson L,Dahl O. Logic in Linguistics[ M]. Britain : Cambridge University Press, 1977.
  • 2Chaffin R, Herrmann D. Similarity and Diversity of Sem- antic Relations [ J ]. Memory and Cognition, 1984,12 ( 1 ) : 134-141.
  • 3Chaffin R, Herrmann D. Relation element theory: a new account of the representation and Processing of Semantic Relation [ C]//Memory and Learning: The Ebbinghaus Centennial Conference. England: Lawrence Erlbaum Associates, 1987:221-245.
  • 4Horrocks I, Gough G. Description Logics with Transitive Roles [ C ]//International workshop on Description Logics. French : Universite Paris-Sud, 1997.
  • 5Horrocks I, Sattler U. Ontology Reasoning in the SHOQ (D) Description Logic [ C ]//Proceedings of the 17th international joint conference on Artificial intelligence Presentation. San Francisco:Morgan Kaufmann Publishers Ine,2001 ( 1 ) :199-204.
  • 6Gliozzo A,Strapparava C. Semantic Domains in Computa- tional Linguistics [ M ]. Berlin : Springer Berlin, 2009.
  • 7洪宇,张宇,范基礼,刘挺,李生.基于语义域语言模型的中文话题关联检测[J].软件学报,2008,19(9):2265-2275. 被引量:19
  • 8裘江南,张彬.客观知识体系中语义关系的分析分类研究[J].情报学报,2012,31(3):259-267. 被引量:7
  • 9Blanco E,Moldovan D. Unsupervised Learning of Semantic Relation Composition [ C ]//HLT' 11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies. PA: Association for Computational Linguistics Stroudsburg, 2011 ( 1 ) : 1456-1465.
  • 10裘江南,张彬,王慧丽,张阔.客观知识体系中语义关系相邻共现规律研究[J].情报学报,2012,31(2):126-135. 被引量:4

二级参考文献61

共引文献325

同被引文献10

引证文献1

二级引证文献2

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