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 |
| 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: | https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-3-319-02597-1 |