自然语言理解篇章中方式信息的研究及其在产品设计中的应用

发布时间：2018-02-12 01:36

本文关键词： 自然语言理解篇章理解方式信息方式程度产品设计　出处：《西安电子科技大学》2013年硕士论文　论文类型：学位论文

【摘要】：随着社会日益信息化以及网络产品日益普及，自然语言理解已经成为计算机科学中一个最引人入胜的、最富挑战性的课题。本文将自然语言理解中的方式信息的理解应用于产品设计，通过对用户以自然语言表达的需求进行分析理解，为后续的设计提供支持，以实现产品市场竞争力的提高。首先，本文简单介绍了现有的语义分析和知识表示方法，结合自然语言理解系统的特点，选用框架及规则与概念从属理论相结合的知识表示方法；其次，讨论了方式信息的结构分类，并介绍了方式信息中的方式词；然后在句法分析基础上简单介绍了方式信息的汇聚模型，，并详细介绍了篇章中在概念从属树的基础上的方式词程度的分析、比较模型；接着运用专家系统开发工具对上述模型实现；最后，将自然语言理解方式信息理解模型应用到产品智能设计领域。
[Abstract]:With the increasing informatization of society and the increasing popularity of network products, natural language understanding has become one of the most fascinating in computer science. The most challenging task. This paper applies the understanding of mode information in natural language understanding to product design, through the analysis and understanding of the needs expressed by users in natural language, to provide support for the subsequent design. In order to achieve the competitiveness of the product market. First of all, this paper briefly introduces the existing semantic analysis and knowledge representation methods, combined with the characteristics of natural language understanding system, and selects the knowledge representation method which combines the framework and rules with the conceptual subordinate theory. The structure classification of mode information is discussed, and the mode words in mode information are introduced, and then the converging model of mode information is introduced briefly on the basis of syntactic analysis. And detailed introduction in the text on the basis of the concept of subordinate tree analysis of the degree of mode words, comparative model; then use expert system development tools to achieve the above model; finally, The natural language understanding mode information understanding model is applied to the field of product intelligent design.
【学位授予单位】：西安电子科技大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：H08;TB47

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