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基于《知网》信息结构模式的词汇化树邻接文法消歧 被引量：1

Lexicalized Tree Adjoining Grammar Disambiguation Based on Message Structure Pattern of HowNet
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摘要 针对词汇化树邻接文法的歧义现象,利用《知网—信息结构库》作为知识库,并引入概率方法提出了一种有效的句法树消歧方法。文中阐述了如何利用知网信息结构模式对句法树进行筛选,并提出了基于概率的信息结构抽取的计算方法。 Considering the disambiguation of syntactic tree generated by lexicalized tree adjoining grammar, a statistical approach efficiently solves the disambiguation of syntactic tree using message structure pattern of HowNet as knowledge database. The method to select a optimal syntactic tree based on message structure pattern, and a statistical approach of extracting message structure are presented.
作者 许云 樊孝忠 张锋
机构地区 北京理工大学计算机科学与工程系
出处 《计算机工程》 EI CAS CSCD 北大核心 2005年第13期4-6,共3页 Computer Engineering
关键词 词汇化树邻接文法 消歧 知网 信息结构模式 Lexicalized tree adjoining grammar(LTAG) Disambiguation HowNet Message structure pattern
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6

  • 1董振东 董强.关于知网-中文信息结构库[EB/OL].http://www.keenage.com,.
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  • 3The LTAG Research Group. A Lexical Tree Adjoining Grammar for English. Institute for Research in Cognitive Science, Univ. of Pennsylvania, 1998.
  • 4董振东.关于《知网》的动态角色与属性[R]:内部报告[R].,2001..
  • 5Xia Fei, Palmer M, Vijay-Shanker K, et al. Consistent Grammar Development Using Partial-tree Descriptions for Lexicalized Tree Adjoining Grammars. In Fourth International Workshop on Tree Adjoining Grammars and Related Frameworks. 1998:180-183.
  • 6Xue Nianwen, Xia Fei. The Bracketing Guidelines for the Penn Chinese Treebank. Technical Report IRCS 00-08, University of Pennsylvania,Philadelphia, PA, 2000.

二级参考文献2

  • 1李涓子.基于语义依存关系的汉语理解语言模型研究：博士后出站报告[M].北京:清华大学电子工程系,2001..
  • 2张建平.大词汇量连续语音识别中的语言模型和理解算法的研究：博士学位论文[M].北京:清华大学电子工程系,1999..

共引文献4

同被引文献26

  • 1许云,樊孝忠,张锋.自动提取词汇化树邻接文法[J].计算机应用,2005,25(1):4-6. 被引量：2
  • 2Joshi A K, Levy L, Takahashi M. Tree Adjunct Grammar [ J]. Journal of Computer and System Science, 1975,10 ( 1 ) : 136 - 163.
  • 3Gardent C, Kallmeyer L. Semantic Construction in Feature - based TAG[ C ]. In: Proceedings of the lOth Conference on European Chapter of the Association for Computational Linguistics, Budapest, Hungary. Morristown, NJ, USA: Association for Computational Linguistics ,2003 : 123 - 130.
  • 4Shen L B, Champollion L, Joshi A K. LTAG - spinal and the Treebank: A New Resource for Incremental, Dependency and Semantic Parsing[ J ]. Language Resources and Evaluation,2008, 42(1) :1 -19.
  • 5DeNeefe S, Knight K. Synchronous Tree Adjoining Machine Translation [ C ]. In : Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, Singapore. Morristown, N J, USA : Association for Computational Linguistics,2009 (2) : 727-736.
  • 6Xia F. Extracting Tree Adjoining Grammars from Bracketed Corpora[ C]. In: Proceedings of the 5th Natural Language Processing Pacific Rim Symposium. Beijing : Tsinghua University Press, 1999.
  • 7Mitkov R. The Oxford Handbook of Computational Linguistics [ M]. London: Oxford University Press,2003:483 -498.
  • 8Abeille A, Rainbow O. Tree Adjoining Grammars: Formalisms, Linguistic Analysis and Processing[ C ]. In :Proceedings of the CSLI Publications Workshop : Chinese Language Processing. 2000.
  • 9Joshi A K, Bangalore S. SuperTagging and Its Applications [ EB/ OL]. [2010 -03 -28]. http://www, cis. upenn, edu/- mickeyc/stag/supenags, html.
  • 10Dras M. A Meta- Level Grammar: Redefining Synchronous TAG for Translation and Paraphrase [ C ]. In : Proceedings of the 37th Annual Meeting of the Association for Computational Linguistics on Computational Linguistics, College Park, Maryland. Morristown, N J, USA: Association for Computational Linguistics, 1999 : 80 - 87.

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计算机工程
2005年 第13期

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