Context-Sensitive Measurement of Word Distance by Adaptive Scaling of a Semantic Space

  title={Context-Sensitive Measurement of Word Distance by Adaptive Scaling of a Semantic Space},
  author={Hideki Kozima and Akira Ito},
The paper proposes a computationally feasible method for measuring contextsensitive semantic distance between words. The distance is computed by adaptive scaling of a semantic space. In the semantic space, each word in the vocabulary V is represented by a multidimensional vector which is obtained from an English dictionary through a principal component analysis. Given a word set C which specifies a context for measuring word distance, each dimension of the semantic space is scaled up or down… CONTINUE READING
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