自然語言理解中介詞管界處理及其在機械產(chǎn)品設(shè)計領(lǐng)域的應(yīng)用
發(fā)布時間:2018-07-06 18:40
本文選題:自然語言理解 + 概念從屬理論; 參考:《西安電子科技大學(xué)》2011年碩士論文
【摘要】:在自然語言理解中,介詞的理解起著很重要的作用。本文將介詞管界的自然語言理解應(yīng)用到機械產(chǎn)品設(shè)計領(lǐng)域的需求分析中,通過對用自然語言形式表達的用戶需求進行分析和理解,將最終理解結(jié)果轉(zhuǎn)化為設(shè)計要求和參數(shù),取得了一定的效果。 本文首先介紹了國內(nèi)外自然語言理解的研究的總體概況、介詞管界的研究現(xiàn)狀、難點和研究意義。詳細分析了自然語言理解中常用的知識表示方法,并針對漢語自然語言理解的特點,本文采用以概念從屬理論為核心、以框架結(jié)構(gòu)為表現(xiàn)形式相結(jié)合的知識表示方法。然后介紹了漢語介詞的相關(guān)理論,重點討論了由介詞結(jié)構(gòu)形成的管界,并對之進行了詳細的分類,同時提出了幾種判斷管界范圍終結(jié)的常用方法。接著,根據(jù)目前系統(tǒng)的知識結(jié)構(gòu),對時間和處所類介詞結(jié)構(gòu)進行了詳細的語義分析,建立了介詞管界理解的模型。結(jié)合時間和處所類介詞結(jié)構(gòu)形成的管界的特點,編寫了介詞管界語義分析的相關(guān)規(guī)則,實現(xiàn)了對該類型介詞管界的語義理解。最后,將介詞管界的自然語言理解應(yīng)用到機械設(shè)計領(lǐng)域的需求分析系統(tǒng)中,經(jīng)過調(diào)試,系統(tǒng)運行良好。
[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.
【學(xué)位授予單位】:西安電子科技大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2011
【分類號】:TH122
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