Word sense disambiguation incorporating lexical and structural semantic information
We present results that show that incorporating lexical and structural semantic information is effective for word sense disambiguation. We evaluated the method by using precise information from a large treebank and an ontology automatically created from dictionary sentences. Exploiting rich semantic...
| Main Authors: | , , , , |
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| Other Authors: | |
| Format: | Conference Paper |
| Language: | English |
| Published: |
2010
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/92286 http://hdl.handle.net/10220/6449 |