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Natural Language Information Retrieval by Tomek Strzalkowski

Natural Language Information Retrieval

Part of the Text, Speech and Language Technology Series


Natural Language Information Retrieval by Tomek Strzalkowski

The last decade has been one of dramatic progress in the field of Natural Language Processing (NLP). This hitherto largely academic discipline has found itself at the center of an information revolution ushered in by the Internet age, as demand for human-computer communication and informa- tion access has exploded. Emerging applications in computer-assisted infor- mation production and dissemination, automated understanding of news, understanding of spoken language, and processing of foreign languages have given impetus to research that resulted in a new generation of robust tools, systems, and commercial products. Well-positioned government research funding, particularly in the U. S. , has helped to advance the state-of-the- art at an unprecedented pace, in no small measure thanks to the rigorous 1 evaluations. This volume focuses on the use of Natural Language Processing in In- formation Retrieval (IR), an area of science and technology that deals with cataloging, categorization, classification, and search of large amounts of information, particularly in textual form. An outcome of an information retrieval process is usually a set of documents containing information on a given topic, and may consist of newspaper-like articles, memos, reports of any kind, entire books, as well as annotated image and sound files. Since we assume that the information is primarily encoded as text, IR is also a natural language processing problem: in order to decide if a document is relevant to a given information need, one needs to be able to understand its content.

About the Author

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Book Info

Publication date

3rd December 2010


Tomek Strzalkowski

More books by Tomek Strzalkowski
Author 'Like for Like'




384 pages


Language: history & general works
Natural language & machine translation
Computational linguistics
Information retrieval
Artificial intelligence
User interface design & usability



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