Some Suggestions on How to Improve the Lexical Semantic Knowledge-Base

Disambiguation, particularly that of lexical meanings is the key problem involved in natural language processing (NLP), and among many means of achieving this end, is to construct a language knowledge base. Nowadays, the knowledge bases established tend to be more and more advanced and fine-grained, with the function of providing the lexical information improved a lot. This paper tries to argue for the importance of constructing the lexical semantic knowledge base, as a means of increasing the amount of information stored in and the practical value of the language knowledge base. The higher aims of the language knowledge base are to identify accurately the lexical meanings in the context, to calculate the sense frequencies displayed in the text and to improve the function of updating the language information stored in the knowledge base. The issue addressed in this paper is an attempt at natural language disambiguation, which, as an essential problem, has a wide range of applications. Keyword: lexical meanings, language knowledge base, disambiguation, sense frequencies