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

Information Extraction: Algorithms and Prospects in a Retrieval Context

Szerző: Marie-Francine Moens
Nyelv: Angol
Kötés: Kemény kötésű
Kiadó: Springer-Verlag New York Inc.
Elérhetőség: Beszállítói készleten alacsony példányszámban
Küldés 13-18 napon belül
40 276 Ft
Currently, there is a considerable interest in integrating the results of information extraction in...

Információk a könyvről

Szerző
Marie-Francine Moens
Nyelv
Angol
Kötés
Könyv - Kemény kötésű
Kiadva
2006
oldal
246
EAN
9781402049873
ISBN
1402049870
Enbook ID
01416805
Kiadó
Springer-Verlag New York Inc.
Súly
1220
Méretek
210 x 297 x 19

Teljes leírás

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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