Abstract
We discuss the methods of using natural language processing technologies for lexical semantic knowledge acquisition. The basic idea is to use shallow (while not complete) natural language processing technologies to acquire domain (while not general) lexical semantic knowledge. These acquiring approaches are based on domain corpus and are transportable among domains. As an application example, through an analysis to the need of 2008 Digital Olympics to multilingual language resources, we try to construct an Olympic-oriented lexical semantic knowledge base in the field of sports, where the above NLP technologies are used to build a human-machine interactive lexical semantic knowledge base construction platform.
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