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...
Main Authors: | , |
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Corporate Author: | |
Format: | Electronic eBook |
Language: | English |
Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2013.
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Series: | SpringerBriefs in Computer Science,
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Subjects: | |
Online Access: | Full Text via HEAL-Link |
Internet
Full Text via HEAL-LinkΒΚΠ - Πατρα: ALFd
Call Number: |
330.01 BAU |
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Copy 1 | Available |
ΒΚΠ - Πατρα: BSC
Call Number: |
330.01 BAU |
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Copy 2 | Available |
Copy 3 | Available |