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基于树核函数的“it”待消解项识别研究 被引量：3

Detection of Referential It in Coreference Resolution Based on Tree Kernel
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摘要 该文在基于特征的英文代词指代消解平台上,使用复合核函数,研究指代消解中待消解项"it"的识别问题。围绕"it"是否是待消解项,该文采取有效策略获得"it"句法结构信息与平面特征信息,并将它们结合起来生成"it"待消解项分类器。在测试分类器性能的同时,将其运用到代词指代消解中以检验它对指代消解的作用。最后在ACE2003基准语料上实验表明采用复合核生成的分类器具有较高的准确率,并能显著提高代词指代消解性能。 This paper presents an automatic approach using Composite Kernel of SVM to determining whether ＂it＂ in text refers to a preceding noun phrase or is instead non referential in the platform of feature based English pronoun coreference resolution. We extract structure information and plane feature information about ＂it＂ in order to construct an anaphorlclty filter. We examine the performance of the filter by introducing it into the pronoun coreference resolution task. Evaluation on the ACE2003 benchmark corpus shows that the filter achieves the highest performance by using Composite Kernel and the pronoun coreferenee resolution is improved by employing the filter.
作者 陈九昌 孔芳 朱巧明 周国栋
机构地区 苏州大学计算机科学与技术学院 江苏省计算机信息处理技术重点实验室
出处 《中文信息学报》 CSCD 北大核心 2010年第5期24-30,共7页 Journal of Chinese Information Processing
基金 国家自然科学基金资助项目(60673041) 高等学校博士学科点专项科研基金资助项目(200802850006) 江苏省高校自然科学重大基础研究项目(08KJA520002) 江苏省高校自然科学基础研究项目(08KJD520010) 苏州市软件专项资助项目(SGR0807)
关键词 待消解项识别 复合核 指代消解 anaphoricity determination composite kernel coreference resolution
分类号 TP391 [自动化与计算机技术—计算机应用技术]
  • 相关文献

参考文献15

  • 1Veselin Stoyanov,Nathan Gilbert,Claire Cardie and Ellen Riloff.Conundrums in Noun Phrase Coreference Resolution:Making Sense of the State-of-the-Art[C]//ACL'2009:656-664.
  • 2Richard Evans.Applying Machine Learning Toward an Automatic Classification of It[C]//Literary and Linguistic Computing,2001,16(1):45-57.
  • 3J.Hobbs.1978.Resolving pronoun references[J].Lingua,44:339-352.
  • 4Lappin S.,Herbert J.L.An algorithm for pronominal anaphora resolution[J].Computational Linguistics,1994,20(4):535-561.
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  • 6Ng V.and Cardie C.Identify Anaphoric and Non-Anaphoric Noun Phrases to Improve Coreference Resolution[C]//COLING'2002.
  • 7王海东,胡乃全,孔芳,周国栋.基于树核函数的英文代词消解研究[J].中文信息学报,2009,23(5):33-39. 被引量：6
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  • 9Yang X.F.,Su J.and Tan C.L.Kernel-Based Pronoun Resolution with Structured Syntactic Knowledge[C]//ACL'2006:41-48.
  • 10Soon W.M.,Ng H.T.and Lim D.A machine learning approach to coreference resolution of noun phrase[J].Computational Linguistics,2001,27(4):521-544.

二级参考文献18

  • 1秦洪武.第三人称代词在深层回指中的应用分析[J].当代语言学,2001,3(1):55-64. 被引量：34
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  • 3郭志立.人称代词指代主体的辨析及其在摘要提取中的应用.1998年中文信息处理国际会议会论文集[M].北京清华大学出版社,1998.310-315.
  • 4Wee.Meng Soon,Hwee Tou Ng and Daniel Chung Yong lim.A machine learning approach to coreference resolution of noun phrase[J].Computational Linguistics,2001,27(4):521-544.
  • 5Vincent Ng and Claire Cardic.Improving machine learning approaches to coreference resolution[C]//Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics,2002.
  • 6J.Hobbs.Resolving pronoun references[J].Lingua,1978.44:339-352.
  • 7S.Lappin and H.Leass.An algorithm for pronominal anaphora resolution[J].Computational Linguistics,1994.20(4):525-561.
  • 8D Zelenko,C Aone,A Richardella.Kernel Methods for Relation Extraction[J].Journal of MachineLearning Research.2003(2):1083-1106.
  • 9M Zhang,J Zhang,J Su,G Zhou.A Composite Kernel to Extract Relations between Entities with both Flat and Structured Features.Sydney[C]//ACL' 2006:825-832.
  • 10Yang Xiao.Feng.,Su J.and Tan C.L.2006,KernelBased Pronoun Resolution with Structured Syntactic Knowledge[C]//ACL ' 2006:41-48,Sydney,July 2006.

共引文献50

同被引文献28

  • 1http://zhidao, baidu, com/, 2011-07-25.
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  • 7Chen Bin, Su Jian, Tan Chew Lira. A Twin-Candidate Based Approach for Event Pi'onoun Resolution using Composite Kernel [C]//Proceedings of COLING, 2010: 188-196.
  • 8Chen Bin, Su Jian, Tan Chew Lira. Resolving Event Noun Phrase to Their Verbal Mentions[C]//Proceedings of EMNLP,2010 : 872-881.
  • 9Kong Fang, Zhou Guodong. Improving Tree Kernelbased Event Pronoun Resolution with Competitive Information[C]//Proeeedings of IJCAI'2011.
  • 10Soon W. M. , Ng H. T. , Lira D. A machine learning approach to coreference resolution of noun phrase [C]//Proceedings of Computational Linguistics, 2001, 27(4) :521-544.

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中文信息学报
2010年 第5期

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