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Structure Discovery in Natural Language
Current language technology is dominated by approaches that either enumerate a large set of rules, or are focused on a large amount of manually labelled data. The creation of both is time-consuming and expensive, which is commonly thought to be the reason why automated natural language understanding...
| Clasificación: | Libro Electrónico |
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| Autor principal: | |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2012.
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| Edición: | 1st ed. 2012. |
| Colección: | Theory and Applications of Natural Language Processing,
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| Temas: | |
| Acceso en línea: | Texto Completo |
Tabla de Contenidos:
- Foreword by Antal van den Bosch
- 1.Introduction
- 2.Graph Models
- 3.SmallWorlds of Natural Language
- 4.Graph Clustering
- 5.Unsupervised Language Separation
- 6.Unsupervised Part-of-Speech Tagging
- 7.Word Sense Induction and Disambiguation
- 8.Conclusion
- References .