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Unsupervised Information Extraction by Text Segmentation (SpringerBriefs in Computer Science)

Eli Cortez, Altigran S. da Silva




[PDF.rs91] Unsupervised Information Extraction by Text Segmentation (SpringerBriefs in Computer Science)

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 | #4902238 in Books |  2013-10-23 |  2013-11-30 | Original language:English | PDF # 1 |  9.25 x.26 x6.10l,.37 | File type: PDF | 94 pages

||0 of 0 people found the following review helpful.| I was surprised when I received this *thin* book. ...|By CA customer|I was surprised when I received this *thin* book. But the content and thoughts inside this book is much more than its appearance.| ||From the reviews:|“Cortez and da Silva discuss the problem of information extraction … . this book is most beneficial to researchers familiar with information extraction. … The book and the individual chapters are well organized and reason

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 domain relying on a very effective set of content-based features. The effectiveness of the content-based features is also exploited to directly learn from test data ...

You can specify the type of files you want, for your device.Unsupervised Information Extraction by Text Segmentation (SpringerBriefs in Computer Science)   |  Eli Cortez, Altigran S. da Silva. A good, fresh read, highly recommended.

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