Téléchargez le livre :  Information Extraction: Algorithms and Prospects in a Retrieval Context

Information Extraction: Algorithms and Prospects in a Retrieval Context

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Éditeur :

Springer


Collection :

The Information Retrieval Series

Paru le : 2006-10-10

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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.
Pages
246 pages
Collection
The Information Retrieval Series
Parution
2006-10-10
Marque
Springer
EAN papier
9781402049873
EAN PDF
9781402049934

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
24
Taille du fichier
5468 Ko
Prix
94,94 €