Unsupervised Information Extraction by Text Segmentation
A new unsupervised approach to the problem of Information Extraction by Text Segmentation (IETS) is proposed, implemented and evaluated herein. The authors' approach relies on information available on pre-existing data to learn how to associate segments in the input string with attributes of a...
Clasificación: | Libro Electrónico |
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Autores principales: | , |
Autor Corporativo: | |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Cham :
Springer International Publishing : Imprint: Springer,
2013.
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Edición: | 1st ed. 2013. |
Colección: | SpringerBriefs in Computer Science,
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Temas: | |
Acceso en línea: | Texto Completo |