Lexical Units in Ontological Semantics

AL-Hamdani AL-Hashimy
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引用次数: 3

Abstract

In this paper we try to focus on the ontological semantic lexicons, one of the static knowledge sources that are used in Ontological Semantic theory for natural language processing. Ontological semantic (OS) is an approach to developing an exhaustive and detailed linguistic theory of meaning that is sufficient for NLP (natural language processing) by computers. It is interested in developing all the necessary processing and knowledge modules and combining them in a comprehensive system for a class of real-life NLP applications, such as MT, information extraction, text summarization, question answering, etc. It is a knowledge based system that required a vast amount of information regarding the world around a specific domain of application. Although we review the fundamentals of the approach, the focus is on the knowledge sources structures especially the lexicon. The paper Concentrate on some specific aspects that are key to the development of this OS approach, such as the acquisition of lexical units information, and the structure of the lexicon which is one of the central resources used in it. And some modern issues like the possibility of automation of static knowledge acquisition.
本体语义中的词汇单位
本体论语义词汇是自然语言处理中应用于本体论语义理论的静态知识来源之一。本体论语义(OS)是一种发展详尽和详细的意义语言学理论的方法,足以用于计算机的自然语言处理。它感兴趣的是开发所有必要的处理和知识模块,并将它们组合在一个综合的系统中,用于一类现实生活中的NLP应用,如机器翻译、信息提取、文本摘要、问题回答等。它是一个基于知识的系统,需要大量关于特定应用领域周围世界的信息。虽然我们回顾了该方法的基本原理,但重点是知识来源结构,特别是词汇。本文着重讨论了该操作系统发展的几个关键方面,如词汇单位信息的获取,以及作为其核心资源之一的词汇的结构。还有一些现代问题,比如静态知识获取自动化的可能性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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