Description
Information Extraction: Algorithms and Prospects in a Retrieval Context, 2006
The Information Retrieval Series, Vol. 21
Author: Moens Marie-Francine
Language: EnglishSubject for Information Extraction: Algorithms and Prospects in a...:
Publication date: 11-2010
246 p. · 16x24 cm · Paperback
Approximative price 105.49 €
Subject to availability at the publisher.
Add to cart the book of Moens Marie-FrancinePublication date: 07-2006
246 p. · 21x29.7 cm · Hardback
Description
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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.