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






 | #4832925 in Books |  2013-10-23 |  2013-11-30 | Original language:English | PDF # 1 |  9.25 x.26 x6.10l,.37 | File Name: 3319025961 | 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 reaso

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...


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You easily download any file type for your gadget.Unsupervised Information Extraction by Text Segmentation (SpringerBriefs in Computer Science)   |  Eli Cortez, Altigran S. da Silva. Which are the reasons I like to read books. Great story by a great author.

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