期刊文献+

信息依存模型的结构及其应用

Structure and application of information dependence model
下载PDF
导出
摘要 文章从意义的定义出发,分析由预设、突显及其条件关系构成的图式结构,并从图式结构进一步挖掘出由事物及其关系构成的用于描述信息方向性和层次性的信息结构。在信息、信息结构和信息依存基础上,结合认知语法基本原理,研究了信息依存模型和信息依存图,从而完成了对意义基本结构的形式化描述——信息依存模型研究。同时在剖析信息依存模型基础上,将其应用于符号学和语言学习中,提出了信息依存符号模型和信息依存语言模型,这类模型融合了认知语法、短语结构语法和依存语法等知识,为语料库句法标注与建设提供了一套解决方案,为语言学研究提供了新视角。 This research starts from the definition of meaning,analyzes the schema structure composed of presupposition,prominence and its conditional relationship.And further excavate from the schematic structure,consisting of things and their relationships,information structure used to describe information directionality and hierarchy.Based on information,information structure and information dependence,combined with the basic principles of cognitive grammar,the information dependency model and information dependency graph are studied.Thus the formal description of the basic structure of meaning-the research of information dependency model is completed.At the same time,based on the analysis of information dependency model,apply it to semiotics and language learning,the information dependent symbol model and the information dependent language model are obtained.This kind of model integrates knowledge of cognitive grammar,phrase structure grammar and dependency grammar,provides a set of solutions for the corpus syntax annotation and construction,and provides a new perspective for linguistic research.
作者 赵林畅 马惠铃 张牧 顾大刚 李良炎 Zhao Linchang;Ma Huiling;Zhang Mu;Gu Dagang;Li Liangyan(College of Mathematics and Information Science,Guiyang University,Guiyang 550005,China;Guiyang Guanshanhu District Big Data Development Administration,Guiyang 550081,China;School of Foreign Languages,Chongqing University,Chongqing 400030,China)
出处 《无线互联科技》 2022年第17期89-93,共5页 Wireless Internet Technology
基金 贵阳学院博士科研启动基金项目,项目名称:基于深度学习的鲁棒视觉特征提取研究,项目编号:GYU-KY-[2022] 国家自然科学基金资助项目,项目名称:基于谱空合一的高光谱图像特征提取理论研,项目编号:61702057。
关键词 信息依存 图式结构 信息结构 依存模型 information dependency schema structure information structure dependency model
  • 相关文献

参考文献7

二级参考文献57

  • 1沈家煊.句式和配价[J].中国语文,2000(4):291-297. 被引量:222
  • 2车万翔,刘挺,李生.实体关系自动抽取[J].中文信息学报,2005,19(2):1-6. 被引量:117
  • 3周明,黄昌宁.面向语料库标注的汉语依存体系的探讨[J].中文信息学报,1994,8(3):35-52. 被引量:40
  • 4董静,孙乐,冯元勇,黄瑞红.中文实体关系抽取中的特征选择研究[J].中文信息学报,2007,21(4):80-85. 被引量:55
  • 5Manning C D, Sehutze H. Foundations of Statistical Natural Language Processing[ M] .London: the M1T Press, 1999:184 - 197.
  • 6Jesus Vilares, Miguel A. Alonso, Manuel Vilares. Extraction of complex index terms in non-English IR: A shallow parsing based approach [ J ]. Information Processing and Manage- ment, 2008,44(4) : 1517 - 1537.
  • 7Aviran S, Siegel P H,Wolf J K. Opfmal Parsing Trees for Run-length Coding of Biased Data[ J] .IEE Transaction on informal/on Theory.2008,54(2) :841 - 849.
  • 8ZHOU De-yu, HE Yu-lan. Discriminative Training of the Hidden Vectors State Model for Semantic Parsing[ J] IEEE, Transaction on Knowledge and Data Engineering. 2009,21 (1):66-77.
  • 9Collins M. Head-Driven Statistical Models for Natural Lan- guage Parsing[ J]. Comptltatiollal Linguistics, 2003,29 (4) : 589 - 637.
  • 10Daniel Jurafsky, James H. Martin. Speech and language processing[ M]. New Jersey, Prentice Hall, 2009:210 - 265.

共引文献100

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