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Information Extraction: Algorithms and Prospects in a Retrieval Context: 21 (The Information Retrieval Series) - Hardcover
Inhaltsangabe
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.
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Information extraction regards the processes of structuring and combining content that is explicitly stated or implied in one or multiple unstructured information sources. It involves a semantic classification and linking of certain pieces of information and is considered as a light form of content understanding by the machine. 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.
The book is aimed at researchers and software developers interested in information extraction and retrieval, but the many illustrations and real world examples make it also suitable as a handbook for students.
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- VerlagSpringer
- Erscheinungsdatum2006
- ISBN 10 1402049870
- ISBN 13 9781402049873
- EinbandTapa dura
- SpracheEnglisch
- Anzahl der Seiten264
- Kontakt zum HerstellerNicht verfügbar
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Information Extraction: Algorithms and Prospects in a Retrieval Context (The Information Retrieval Series, 21)
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Information Extraction: Algorithms and Prospects in a Retrieval Context (The Information Retrieval Series, 21)
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Hardcover. Zustand: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority! Bestandsnummer des Verkäufers S_333650306
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Information Extraction: Algorithms and Prospects in a Retrieval Context
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Springer-Verlag New York Inc., 2006
ISBN 10: 1402049870
ISBN 13: 9781402049873
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Information Extraction: Algorithms and Prospects in a Retrieval Context
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