Information Extraction: Algorithms and Prospects in a Retrieval Context

• Κύριος συγγραφέας: Moens, Marie-Francine (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Dordrecht : Springer Netherlands, 2006.
• Θέματα: Culture > Study and teaching.; Library science.; Information storage and retrieval.; Artificial intelligence.; Computational linguistics.; Pattern recognition.; Computer industry.; Cultural and Media Studies.; Library Science.; Information Storage and Retrieval.; Artificial Intelligence (incl. Robotics).; Language Translation and Linguistics.; Pattern Recognition.; The Computer Industry.

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...

Πίνακας περιεχομένων:

• Information Extraction and Information Technology
• Information Extraction from an Historical Perspective
• The Symbolic Techniques
• Pattern Recognition
• Supervised Classification
• Unsupervised Classification Aids
• Integration of Information Extraction in Retrieval Models
• Evaluation of Information Extraction Technologies
• Case Studies
• The Future of Information Extraction in a Retrieval Context.