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This book presents how to create 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, all supported with examples. The book discusses the need to fill the gap between data / documents / people, and provides a broad overview of the technology in IE. The authors present a description of a generic architecture for developing systems that are able to learn how to extract relevant information from natural language documents, and illustrates how to implement a working system using state-of-the-art and freely available software for several languages, including English. Some concrete examples of systems / applications are provided to illustrate how applications can deliver information to end users.