Abstract
We present a semantic similarity algorithm based on Word Net is a classification tree. The algorithm considered Word Net as the complete corpus. Consider the number of synonyms in each concept. Combined with the structural features of Word Net itself. When calculating semantic similarity. First, computing the semantic distance of each edge in the shortest path. Then calculate the semantic distance of the shortest path. And the length of each side was weighted by the factor.
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