EAN: 9783319155623

SPRINGERBRIEFS IN ELECTRICAL AND COMPUTER ENGIN...

This book explains how can be created information extraction (IE) applications that are able to
tap the vast amount of relevant information available in natural language sources: Internet
pages  official documents such as laws and regulations  books and newspapers  and social web.
Readers are introduced to the problem of IE and its current challenges and limitations 
supported with examples. The book discusses the need to fill the gap between documents  data 
and people  and provides a broad overview of the technology supporting IE. The authors present
a generic architecture for developing systems that are able to learn how to extract relevant
information from natural language documents  and illustrate how to implement working systems
using state-of-the-art and freely available software tools. The book also discusses concrete
applications illustrating IE uses. · Provides an overview of state-of-the-art technology in
information extraction (IE)  discussing achievements and limitations for the software developer
and providing references for specialized literature in the area · Presents a comprehensive list
of freely available  high quality software for several subtasks of IE and for several natural
languages · Describes a generic architecture that can learn how to extract information for a
given application domain

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