TY  - BOOK
AU  - Rodrigues,Mário
AU  - Teixeira,António
ED  - SpringerLink (Online service)
TI  - Advanced Applications of Natural Language Processing for Performing Information Extraction
T2  - SpringerBriefs in Electrical and Computer Engineering,
SN  - 9783319155630
AV  - P98-98.5 
U1  - 006.35 23
PY  - 2015///
CY  - Cham
PB  - Springer International Publishing, Imprint: Springer
KW  - Computer science
KW  - Computational linguistics
KW  - Computer Science
KW  - Language Translation and Linguistics
KW  - Computational Linguistics
KW  - Signal, Image and Speech Processing
KW  - Electronic books
KW  - local
N1  - Introduction -- Data Gathering, Preparation and Enrichment -- Identifying things, relations, and semantizing data -- Extracting Relevant Information Using a Given Semantic -- Application Examples -- Conclusion
N2  - 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
UR  - http://ezproxy.alfaisal.edu/login?url=http://dx.doi.org/10.1007/978-3-319-15563-0
ER  -