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 given...

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Bibliographic Details
Main Authors: Cortez, Eli (Author), Silva, Altigran S. da (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2013.
Series:SpringerBriefs in Computer Science,
Subjects:
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ΒΚΠ - Πατρα: ALFd

Holdings details from ΒΚΠ - Πατρα: ALFd
Call Number: 330.01 BAU
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ΒΚΠ - Πατρα: BSC

Holdings details from ΒΚΠ - Πατρα: BSC
Call Number: 330.01 BAU
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