Information Extraction: Algorithms and Prospects in a Retrieval Context

Name: Information Extraction: Algorithms and Prospects in a Retrieval Context
Brand: Springer-Verlag New York Inc.
SKU: 9781402049873
Price: 580.9 RON
Availability: InStock

Autor: Marie-Francine Moens

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Legare: Copertă tare

Editura: Springer-Verlag New York Inc.

Disponibilitate: În depozitul extern în cantități mici

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580.90 lei

Currently, there is a considerable interest in integrating the results of information extraction in...

Informații despre carte

Autor

Marie-Francine Moens

Limbă

engleză

Legare

Carte - Copertă tare

Publicat

2006

Pagini

246

EAN

9781402049873

ISBN

1402049870

Enbook ID

01416805

Editura

Springer-Verlag New York Inc.

Greutate

1220

Dimensiuni

210 x 297 x 19

Descriere completă

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.

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Information Extraction: Algorithms and Prospects in a Retrieval Context

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