Exploring feature set combinations for WSD
This paper explores the split of features sets in order to obtain better wsd systems through combinations of classifiers learned over each of the split feature sets. Our results show that only k-nn is able to profit from the combination of split features, and that simple voting is not enough for tha...
Guardado en:
| Publicado en: | Procesamiento del Lenguaje Natural |
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| Autores principales: | , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Sociedad Española para el Procesamiento del Lenguaje Natural
2006
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| Materias: | |
| Acceso en línea: | https://www.redalyc.org/articulo.oa?id=515751737035 |
| Etiquetas: |
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