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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...

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Detalles Bibliográficos
Clasificación:	Libro Electrónico
Autores principales:	Cortez, Eli (Autor), da Silva, Altigran S. (Autor)
Autor Corporativo:	SpringerLink (Online service)
Formato:	Electrónico eBook
Idioma:	Inglés
Publicado:	Cham : Springer International Publishing : Imprint: Springer, 2013.
Edición:	1st ed. 2013.
Colección:	SpringerBriefs in Computer Science,
Temas:	Database management. Data mining. Information storage and retrieval systems. Database Management. Data Mining and Knowledge Discovery. Information Storage and Retrieval.
Acceso en línea:	Texto Completo

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