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IJCNLP
2004
Springer
2004
Springer
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.
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| Added | 02 Jul 2010 |
| Updated | 02 Jul 2010 |
| Type | Conference |
| Year | 2004 |
| Where | IJCNLP |
| Authors | Kiyoaki Shirai, Takayuki Tamagaki |
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