自然语言理解面向篇章分析中插入语的研究及其在产品设计中的应用

发布时间：2018-02-01 01:51

本文关键词： 自然语言理解概念从属理论篇章分析插入语产品设计　出处：《西安电子科技大学》2014年硕士论文　论文类型：学位论文

【摘要】：自然语言理解技术是人工智能的一种重要应用，本文的研究是要将该技术应用到产品设计领域中。本文主要研究自然语言理解篇章分析中的插入语，并建立了实现插入语篇章理解的模型，最终结果应用在产品设计领域的需求分析当中，以实现对自然语言形式表达的用户需求的理解，最终目的是要让系统与用户能进行良好交流，从而为后续设计提供技术上的支持。首先，本文系统地介绍了在自然语言处理技术大背景下中文插入语研究的发展和现状，对现有的篇章分析方法和知识表示方法分别给出了较为细致的介绍，并且从本文研究的要求出发，，使用概念从属理论作为知识表示方法，并结合框架知识和规则实现推理。其次，对插入语及其关联类型做出了分类讨论，根据插入语的关联类型给出相应的处理方法。然后，利用篇章中的信息对插入语理解建立了汇聚模型，并且在专家系统开发工具中实现了该模型。最终，依靠该插入语汇聚模型对产品设计领域中智能仪器设计的一个实例进行了验证。
[Abstract]:Natural language understanding is an important application of artificial intelligence. The purpose of this paper is to apply this technology to the field of product design. Finally, a model is established to realize the comprehension of the text of the inserts, and the final result is applied to the requirement analysis in the field of product design, in order to realize the understanding of the user's needs expressed in the natural language form. The ultimate goal is to allow the system to communicate well with users, thus providing technical support for subsequent design. First of all, this paper systematically introduces the development and current situation of the research of Chinese inserts under the background of natural language processing technology, and gives a detailed introduction to the existing methods of text analysis and knowledge representation. And according to the requirements of this study, we use the theory of conceptual subordination as the knowledge representation method, and combine the framework knowledge and rules to achieve reasoning. Secondly, we make a classification of the inserts and their relevance types. According to the relevance types of the inserts, the corresponding processing methods are given. Then, the convergent model is established by using the information in the text, and the model is implemented in the expert system development tool. An example of intelligent instrument design in the field of product design is verified by the convergent model.
【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】：2014
【分类号】：TP391.1;TB472

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