自然语言理解中介词管界处理及其在机械产品设计领域的应用

发布时间：2018-07-06 18:40

本文选题：自然语言理解 + 概念从属理论　；参考：《西安电子科技大学》2011年硕士论文

【摘要】：在自然语言理解中,介词的理解起着很重要的作用。本文将介词管界的自然语言理解应用到机械产品设计领域的需求分析中,通过对用自然语言形式表达的用户需求进行分析和理解,将最终理解结果转化为设计要求和参数,取得了一定的效果。本文首先介绍了国内外自然语言理解的研究的总体概况、介词管界的研究现状、难点和研究意义。详细分析了自然语言理解中常用的知识表示方法,并针对汉语自然语言理解的特点,本文采用以概念从属理论为核心、以框架结构为表现形式相结合的知识表示方法。然后介绍了汉语介词的相关理论,重点讨论了由介词结构形成的管界,并对之进行了详细的分类,同时提出了几种判断管界范围终结的常用方法。接着,根据目前系统的知识结构,对时间和处所类介词结构进行了详细的语义分析,建立了介词管界理解的模型。结合时间和处所类介词结构形成的管界的特点,编写了介词管界语义分析的相关规则,实现了对该类型介词管界的语义理解。最后,将介词管界的自然语言理解应用到机械设计领域的需求分析系统中,经过调试,系统运行良好。
[Abstract]:Preposition understanding plays an important role in natural language understanding. In this paper, the natural language understanding of preposition management is applied to the requirement analysis in the field of mechanical product design. By analyzing and understanding the user's needs expressed in the form of natural language, the final understanding result is transformed into the design requirements and parameters. A certain effect has been achieved. This paper first introduces the general situation of the research on natural language understanding at home and abroad, the status quo, difficulties and significance of the research on preposition management. The common knowledge representation methods in natural language understanding are analyzed in detail. In view of the characteristics of Chinese natural language understanding, this paper adopts a knowledge representation method based on conceptual subordination theory and frame structure as representation form. Then it introduces the relevant theories of Chinese prepositions, discusses the boundary formed by preposition structure, classifies it in detail, and puts forward several common methods to judge the end of the scope of preposition. Then, according to the knowledge structure of the present system, the semantic analysis of time and locative preposition structure is carried out in detail, and the model of preposition management understanding is established. According to the characteristics of the administrative domain formed by the structure of time and locative prepositions, the relevant rules of semantic analysis of the prepositions are compiled, and the semantic understanding of the prepositions is realized. Finally, the natural language understanding of preposition management is applied to the requirement analysis system in the field of mechanical design. After debugging, the system runs well.
【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】：2011
【分类号】：TH122

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