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Integrated Linguistic Annotation Models and Their Application in the Domain of Antecedent Detection

  • Seamless integration of various, often heterogeneous linguistic resources in terms of their output formats and a combined analysis of the respective annotation layers are crucial tasks for linguistic research. After a decade of concentration on the development of formats to structure single annotations for specific linguistic issues, in the last years a variety of specifications to store multiple annotations over the same primary data has been developed. The paper focuses on the integration of the knowledge resource logical document structure information into a text document to enhance the task of automatic anaphora resolution both for the task of candidate detection and antecedent selection. The paper investigates data structures necessary for knowledge integration and retrieval.

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Metadaten
Author:Andreas WittORCiDGND, Maik Stührenberg, Daniela Goecke, Dieter Metzing
URN:urn:nbn:de:bsz:mh39-45077
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:Annotation; Automatische Sprachanalyse; Computerlinguistik
First Page:197
Last Page:218
Dewey Decimal Classification:400 Sprache / 410 Linguistik
Leibniz-Classification:Sprache, Linguistik
Linguistics-Classification:Computerlinguistik
Open Access?:Ja
Licence (German):Es gilt das UrhG