Modeling, Learning, and Processing of Text-Technological Data Structures
Language: English
Published by Springer, 2011
- Hardcover
- Used
Seller: Buchpark, Trebbin, GermanyBuchpark
AbeBooks seller since September 30, 2021
Condition: Used - Fine
US$ 106.00
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Zustand: Sehr gut | Seiten: 416 | Sprache: Englisch | Produktart: Bücher | 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.
Seller Inventory # 10870750/12
- Title
- Modeling, Learning, and Processing of Text-Technological Data Structures
- Author
- Unbekannt
- Publisher
- Springer
- Publication year
- 2011
- Condition
- Sehr gut
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 3642226124
- ISBN 13
- 9783642226120
- Seller catalogs
- Bücher
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.
"Synopsis" may belong to another edition of this title.
From the Back Cover
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.
"About the title" may belong to another edition of this title.
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