Unsupervised Information Extraction by Text Segmentation

Unsupervised Information Extraction by Text Segmentation by Eli Cortez, Altigran S. da Silva.

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 given...

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Bibliographic Details
Main Authors: Cortez, Eli (Author), da Silva, Altigran S. (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2013.
Edition:1st ed. 2013.
Series:SpringerBriefs in Computer Science,
Springer eBook Collection.
Subjects:
Database management.
Data mining.
Information storage and retrieval.
Electronic resources (E-books)
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Call Number: E-Book
Status: Available

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