蔡艳婧, 程显毅, 潘燕. 面向自然语言处理的人工智能框架[J]. 微电子学与计算机, 2011, 28(10): 173-176,180.
引用本文: 蔡艳婧, 程显毅, 潘燕. 面向自然语言处理的人工智能框架[J]. 微电子学与计算机, 2011, 28(10): 173-176,180.
CAI Yan-jing, CHENG Xian-yi, PAN Yan. A Framework of Artificial Intelligence Oriented Natural Language Processing[J]. Microelectronics & Computer, 2011, 28(10): 173-176,180.
Citation: CAI Yan-jing, CHENG Xian-yi, PAN Yan. A Framework of Artificial Intelligence Oriented Natural Language Processing[J]. Microelectronics & Computer, 2011, 28(10): 173-176,180.

面向自然语言处理的人工智能框架

A Framework of Artificial Intelligence Oriented Natural Language Processing

  • 摘要: 在自然语言的处理研究中, 一般对语义的处理只是在某范围内选定若干低级的原语, 用这些原语的结构组织来解决高层次词条的语义, 并且这些所需要原语的语义必须清楚, 这样可以解决一定范围的语义问题.实际仅仅是用一定范围的语法结构代替语义描述, 并没有真正解决语义的表达问题.随着人工智能的研究取得一定进展, 计算机已从单纯的数值计算进入到知识处理阶段.Agent理论有助于从语言的本质使用的角度来处理自然语言处理中的人工智能框架, 为语义分析提供哲学的视域和分析方法.

     

    Abstract: In the study of natural language processing, in general, semantic processing is within a certain number of low-level primitives selected, with the structural organization of these primitives to solve the high-level semantics of term, and these semantic primitives need to be clear, this would solve a range of semantic issues.Actually, it is only a certain range instead of the grammatical structure of semantic, does not really solve the problem of semantic expression.With some progress made in the research of artificial intelligence, computer from a simple numerical calculation into knowledge processing stage.Agent theory helps to use from the perspective of the nature of language to deal with natural language processing in artificial intelligence framework, for the semantic analysis provides the horizon of philosophy and methods of analysis.

     

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