Descripción del título
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
Monografía
monografia Rebiun36313198 https://catalogo.rebiun.org/rebiun/record/Rebiun36313198 m o d | cr nn 008mamaa 111013s2012 gw s 00 0 eng d 9783642226137 9783642269448 9783642226120 9783642226144 10.1007/978-3-642-22613-7 doi UMA.RE eng TBJ bicssc MAT003000 bisacsh 005.7/3 Modeling, Learning, and Processing of Text Technological Data Structures Recurso electrónico] edited by Alexander Mehler, Kai-Uwe Kühnberger, Henning Lobin, Harald Lüngen, Angelika Storrer, Andreas Witt Berlin, Heidelberg Springer Berlin Heidelberg 2012 Berlin, Heidelberg Berlin, Heidelberg Springer Berlin Heidelberg Berlin, Heidelberg Springer Berlin Heidelberg 2012 Berlin, Heidelberg Berlin, Heidelberg Springer Berlin Heidelberg XVI, 400 p XVI, 400 p Text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Studies in Computational Intelligence 370 Bibliographic Level Mode of Issuance: Monograph Includes bibliographical references and index 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 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 English Engineering mathematics Natural language processing (Computer science) Artificial intelligence Computational linguistics Mathematical and Computational Engineering. Natural Language Processing (NLP). Artificial Intelligence. Computational Linguistics. Engineering mathematics Natural language processing (Computer science) Artificial intelligence Computational linguistics Mathematical and Computational Engineering Natural Language Processing (NLP) Artificial Intelligence Computational Linguistics Mehler, Alexander ed. lit Kühnberger, Kai-Uwe ed. lit Lobin, Henning ed. lit Lüngen, Harald ed. lit Storrer, Angelika ed. lit Witt, Andreas ed. lit Studies in Computational Intelligence (CKB)1000000000238186 1860-9503 3-642-22612-4 Studies in Computational Intelligence 370