Modeling, Learning, and Processing of Text-Technological Data Structures (Paperback, 2012 ed.)

Researchers in many disciplines have been concerned with modeling textual data in order to account for texts as the primary information unit of written communication. The book "Modelling, Learning and Processing of Text-Technological Data Structures" deals with this challenging information unit. It focuses on theoretical foundations of representing natural language texts as well as on concrete operations of automatic text processing. Following this integrated approach, the present volume includes contributions to a wide range of topics in the context of processing of textual data. This relates to the learning of ontologies from natural language texts, the annotation and automatic parsing of texts as well as the detection and tracking of topics in texts and hypertexts. In this way, the book brings together a wide range of approaches to procedural aspects of text technology as an emerging scientific discipline.

General

Imprint:	Springer-Verlag
Country of origin:	Germany
Series:	Studies in Computational Intelligence, 370
Release date:	November 2013
First published:	2012
Editors:	Alexander Mehler • Kai-Uwe Kuhnberger • Henning Lobin • Harald Lungen • Angelika Storrer • Andreas Witt
Dimensions:	235 x 155 x 22mm (L x W x T)
Format:	Paperback
Pages:	400
Edition:	2012 ed.
ISBN-13:	978-3-642-26944-8
Categories:	Books > Language & Literature > Language & linguistics > Computational linguistics Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers Books > Computing & IT > Applications of computing > Artificial intelligence > Natural language & machine translation Promotions
LSN:	3-642-26944-3
Barcode:	9783642269448

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