An Approach To Ambiguity Processing Based On Causality And Its Application In The Intelligent Instrument Design

Chinese ambiguity problem has caused great difficulties in the semantic understanding, particularly ambiguous phrase structure. Based on the review and the summarization of previous research results, under the support of causality, this paper mainly discuss the ambiguity in two aspects:the object of the ambiguity research, and the methods for eliminating such ambiguity. Finally, we apply it to the field of intelligent design, this paper mainly studied the following aspects of work:Firstly, a profound analysis and comparison of several existing ambiguity is given out, reference to the advantage of different semantic analysis theory of these ambiguous, and put forward my point of view about the semantics of these ambiguous, divide the ambiguity into two categories:"verb phrase polysemy "ambiguity, and" noun phrase polysemy "ambiguity, In this way, according to the knowledge the decomposition realizes the ambiguous sentences mold piece turns.Secondly, on the base of the method of knowledge representation,this paper give an effective method of cause-and-effect knowledge representation as well as the reasoning of causal-and-effect knowledge. Besides, this paper apply the common form of contact and interaction of objective things——cause-and-effect relationship to the ambiguous phrase structure digestion system. Then proposed "verb phrase polysemy" ambiguity and "noun phrase polysemy" ambiguity processing models and algorithms under the causal relationship, in this way,we offers new ideas and new solutions to the processing of ambiguity of natural language.Then, by comparing with other Chinese sentence patterns found in the causal relationship between the context, "a euphemistic way of the reasons and results" of the entire event is perceptual point of ambiguity sentences. In this situation, this paper establishes the causal corresponding knowledge base, analysis the correlation of cause-and-effect knowledge and related notion, Pave the way for explore chapter implied causality effectively, and the use of these relevance can limit and restrict phrase ambiguity, realize the purpose of eliminating part of the ambiguity.Finally, the disambiguation model and the proposed algorithm is applied to the process of modern product design analysis, assist designers to effectively eliminate the ambiguity of information to understand and improve the design accuracy and intelligence.