Word Sense Disambiguation using Heterogeneous Language Resources

摘要

This paper proposes a robust method for word sense disambiguation of Japanese. We combined several classifiers using heterogeneous language resources, a machine readable dictionary and a word sense tagged corpus. According to our experimental results, our method outperformed the best single classifier for recall and applicability.