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Introduction: Modeling, Learning and Processing of Text-Technological Data Structures

  • Researchers in many disciplines, sometimes working in close cooperation, have been concerned with modeling textual data in order to account for texts as the prime information unit of written communication. The list of disciplines includes computer science and linguistics as well as more specialized disciplines like computational linguistics and text technology. What many of these efforts have in common is the aim to model textual data by means of abstract data types or data structures that support at least the semi-automatic processing of texts in any area of written communication.

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Author:Alexander Mehler, Kai-Uwe Kühnberger, Henning LobinGND, Harald LüngenGND, Angelika Storrer, Andreas WittORCiDGND
URN:urn:nbn:de:bsz:mh39-45067
DOI:https://doi.org/10.1007/978-3-642-22613-7_1
ISBN:978-3-642-22612-0
Parent Title (English):Modeling, Learning, and Processing of Text-Technological Data Structures
Series (Serial Number):Studies in Computational Intelligence (370)
Publisher:Springer
Place of publication:Berlin/Heidelberg
Editor:Alexander Mehler, Kai-Uwe Kühnberger, Henning Lobin, Harald Lüngen, Angelika Storrer, Andreas Witt
Document Type:Part of a Book
Language:English
Year of first Publication:2011
Date of Publication (online):2015/12/21
Publicationstate:Postprint
Reviewstate:(Verlags)-Lektorat
GND Keyword:Datenstruktur; Dokumentenverarbeitung; Maschinelles Lernen; Natürliche Sprache; Ontologie <Wissensverarbeitung>; Semantische Relation; Syntaktische Analyse; Textverarbeitung
First Page:1
Last Page:11
Note:
The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-642-22613-7_1
DDC classes:400 Sprache / 410 Linguistik
Open Access?:ja
Leibniz-Classification:Sprache, Linguistik
Linguistics-Classification:Computerlinguistik
Licence (German):License LogoUrheberrechtlich geschützt