摘要
自然语言处理是人工智能的研究课题之一,自然语言生成是自然语言处理的一个重要研究方向,寻求一种适合于自然语言处理的知识表示方法是自然语言处理的中心研究问题.本文描述,利用概念图对自然语言生成过程中的背景知识,文法知识和生成方法学知识的表示.应用概念知识表示方法能解决自然语言生成中的语义二义性问题。
Natural language processing is one of the research fields in artficial intelligence, natural language generation is a important direction of research in natural language processing, to make a study of a way of representing knowledge in natural language is a major subject in natural language processing. In this paper, we describe a method of concept-graph for representing knowledge and reperesentation of background knowledge, grammar, knowledge of generating method in natural language generation. Many problems can be solved by using this method of representation of knowledge.
出处
《微电子学与计算机》
CSCD
北大核心
1993年第11期1-6,17,共7页
Microelectronics & Computer
关键词
自然语言
知识表示
人工智能
Natural language generation
Augmented concept-graph grammar
Utterance path
