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Information Extraction: Algorithms and Prospects in a Retrieval Context by Marie-Francine Moens
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Information Extraction: Algorithms and Prospects in a Retrieval Context

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Description

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.
Release date Australia
November 22nd, 2010
Audience
  • Professional & Vocational
Edition
Softcover reprint of hardcover 1st ed. 2006
Illustrations
XIV, 246 p.
Pages
246
Dimensions
160x240x15
ISBN-13
9789048172467
Product ID
8870478

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