Acquisition and Maintenance of Knowledge Bases for Natural Language Processing Systems

这项研究是卡内基梅隆大学的Sergei Nirenburg和普渡大学的Victor Raskin共同完成的。他们的目标是推动自然语言处理知识库的发展。他们正在建立关于单词、单词含义和单词关系的知识库，这些知识库超出了“玩具”领域，足以在现实情况下进行自然语言处理。这些“计算词典”知识库是自动计算机系统分析自然语言和生成自然语言输出的基础。本研究的意义在于，自然语言的自动处理是开发计算机系统接口的重要组成部分。关于词义和世界知识的计算机知识库是自然语言处理系统不可缺少的。这项工作开始为这些知识库和获取其内容的工具建立框架，以一种对许多研究小组有用并适合各种应用的方式。

This research is joint work of Sergei Nirenburg at Carnegie Mellon University and Victor Raskin at Purdue University. Their goal is to advance the state of the art in knowledge bases for natural language processing. They are building knowledge bases about words, word meanings and word relationships, extended beyond "toy" domains to be comprehensive enough for natural language processing in realistic situations. These kinds of "computational lexicography" knowledge bases are fundamental to automatic computer systems for analyzing natural language and for generating natural language output. The significance of this research is that automatic processing of natural language is a major component in developing computer systems interface. Computerized knowledge bases about word meanings and world knowledge are indispensable to natural language processing systems. This work begins to build the framework for such knowledge bases and the tools for acquiring their content, in a way which will be useful to many research groups and suitable for diverse applications.