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.
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