Improving English verb sense disambiguation performance with linguistically motivated features and clear sense distinction boundaries.
This paper presents a high-performance broad-coverage supervised word sense disambiguation (WSD) system for English verbs that uses linguistically motivated features and a smoothed maximum entropy machine learning model. We describe three specific enhancements to our system’s treatment of linguistic...
| Publicado en: | Language Resources & Evaluation Vol. 43; no. 2; pp. 181 - 209 |
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| Autores principales: | , |
| Formato: | Artículo |
| Publicado: |
Springer Nature
Jun2009
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |