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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.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Contenuti:
Part I Text Parsing: Data Structures, Architecture and Evaluation.- Part II Measuring Semantic Distance: Methods, Resources, and Applications.- Part III From Textual Data to Ontologies, from Ontologies to Textual Data.- Part IV Multidimensional Representations: Solutions for Complex Markup.- Part V Document Structure Learning.- Part VI Interfacing Textual Data, Ontological Resources and Document Parsing.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
- EditoreSpringer
- Data di pubblicazione2013
- ISBN 10 3642269443
- ISBN 13 9783642269448
- RilegaturaCopertina flessibile
- Numero di pagine416
- RedattoreMehler Alexander, Kühnberger Kai-Uwe, Lobin Henning, Lüngen Harald, Storrer Angelika, Witt Andreas
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Modeling, Learning, and Processing of Text-Technological Data Structures
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Descrizione libro Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 416 pp. Englisch. Codice articolo 9783642269448
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Modeling, Learning, and Processing of Text-Technological Data Structures
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Descrizione libro Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Codice articolo 9783642269448
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