Topic Modeling and Word Sense Disambiguation on the Ancora corpus
In this paper we present an approach to Word Sense Disambiguation based on Topic Modeling (LDA). Our approach consists of two different steps, where first a binary classifier is applied to decide whether the most frequent sense applies or not, and then another classifier deals with the non most freq...
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| Опубликовано в:: | Procesamiento del Lenguaje Natural |
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| Главные авторы: | , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Sociedad Española para el Procesamiento del Lenguaje Natural
2015
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| Предметы: | |
| Online-ссылка: | https://www.redalyc.org/articulo.oa?id=515751524001 |
| Метки: |
Нет меток, Требуется 1-ая метка записи!
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