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Paper Title:
Semantic Similarity Based on Compact Concept Ontology

Authors:

  • Ce Zhang(Peking University)
  • Yu-Jing Wang(Peking University)
  • Bin Cui(Peking University)
  • Gao Cong(Microsoft Research Asia)

Abstract:
This paper presents a new method of calculating the semantic similarity between two articles based on WordNet. To further improve the performance of the proposed method, we build a new Compact Concept Ontology (CCO) from WordNet by combining the words with similar semantic meanings. The experimental results show that our approach significantly outperforms a recent proposal of computing semantic similarity, and demonstrate the superiority of the proposed CCO method.

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