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The most fundamental step in Semantic Information Processing (SIP) is to construct Knowledge Base (KB) at the human level; that is to the general understanding and conception of human knowledge. WordNet has been built to be the most systematic and as close to the human level and is being applied actively in various works. In one of the authors' previous research, they found that a semantic gap exists between concept pairs of WordNet and those of real world. This paper contains a study on the enrichment method to build a KB. They describe the methods and the results for the automatic enrichment of the semantic relation network.
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