Information extraction regards the processes of structuring and combining content that is explicitly stated or implied in one or multiple unstructured information sources. It involves a semantic classification and linking of certain pieces of information and is considered as a light form of content understanding by the machine. Currently, there is a considerable interest in integrating the results of information extraction in retrieval systems, because of the growing demand for search engines that return precise answers to flexible information queries. Advanced retrieval models satisfy that need and they rely on tools that automatically build a probabilistic model of the content of a (multi-media) document.
The book focuses on content recognition in text. It elaborates on the past and current most successful algorithms and their application in a variety of domains (e.g., news filtering, mining of biomedical text, intelligence gathering, competitive intelligence, legal information searching, and processing of informal text). An important part discusses current statistical and machine learning algorithms for information detection and classification and integrates their results in probabilistic retrieval models. The book also reveals a number of ideas towards an advanced understanding and synthesis of textual content.
The book is aimed at researchers and software developers interested in information extraction and retrieval, but the many illustrations and real world examples make it also suitable as a handbook for students.
C# 2010 All-in-One For Dummies
A logical, straightforward approach to learning the C# language
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Programming and Problem Solving with Visual Basic .NET
Programming and Problem Solving with Visual Basic .NET introduces Visual Basic from an object-oriented viewpoint, with a rigor and accessibility perfect for students learning their first programming language. Rich in the pedagogical style that is the trademark of the Dale series of programming texts, this Visual Basic text provides...
Introduction to Fuzzy Sets, Fuzzy Logic, and Fuzzy Control Systems The book would certainly provide a sound and systematic introductionClearly and thoroughly written, it admirably meets the authors' stated goals and definitely deserves a place in the library of all institutions where courses on fuzzy systems and allied topics are taught. An excellent introduction to these fields via self-study.
Information and Coding Theory (Springer Undergraduate Mathematics Series)
As thi s Preface is being written, th e twent ieth century is coming to an end .
Historians may perhaps come to refer to it as the cent ury of information, jus t
as its predecessor is associated with the proce ss of indust rialisation. Successive
technological developments such as the telephone, radio, television , compute rs
and... OpenGL SuperBible (3rd Edition) OpenGL SuperBible, Third Edition is a comprehensive, hands-on guide for Mac and Windows programmers who need to know how to program with the new version of OpenGL. This book will help readers master and expand their knowledge of 3D graphics programming and OpenGL implementation. Seasoned OpenGL programmers will also...