Word Sense Disambiguation Using Heterogeneous Language Resources

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.

• Type: Conference
• Year: 2004
• Where: IJCNLP
• Authors: Kiyoaki Shirai, Takayuki Tamagaki
• Keywords: IJCNLP 2004, Sense Tagged Corpus, Word Sense, Word Sense Disambiguation