Information Extraction: Algorithms and Prospects in a Retrieval Context
(Sprache: Englisch)
This book covers content recognition in text, elaborating on past and current most successful algorithms and their application in a variety of settings: news filtering, mining of biomedical text, intelligence gathering, competitive intelligence, legal...
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Klappentext zu „Information Extraction: Algorithms and Prospects in a Retrieval Context “
This book covers content recognition in text, elaborating on past and current most successful algorithms and their application in a variety of settings: news filtering, mining of biomedical text, intelligence gathering, competitive intelligence, legal information searching, and processing of informal text. Today, there is considerable interest in integrating the results of information extraction in retrieval systems, because of the demand for search engines that return precise answers to flexible information queries.
Inhaltsverzeichnis zu „Information Extraction: Algorithms and Prospects in a Retrieval Context “
1 Information Extraction and Information Technology2 Information Extraction from an Historical Perspective
3 The Symbolic Techniques
4 Pattern Recognition
5 Supervised Classification
6 Unsupervised Classification Aids.-7 Integration of Information Extraction in Retrieval Models
8 Evaluation of Information Extraction Technologies
9 Case Studies
10 The Future of Information Extraction in a Retrieval Context
Bibliographische Angaben
- Autor: Marie-Francine Moens
- 2006, 246 Seiten, Maße: 29,7 cm, Gebunden, Englisch
- Verlag: Springer Netherlands
- ISBN-10: 1402049870
- ISBN-13: 9781402049873
Sprache:
Englisch
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