Discourse Relations and Document Structure

This chapter addresses the requirements and linguistic foundations of automatic relational discourse analysis of complex text types such as scientific journal articles. It is argued that besides lexical and grammatical discourse markers, which have traditionally been employed in discourse parsing, cues derived from the logical and generical document structure and the thematic structure of a text must be taken into account. An approach to modelling such types of linguistic information in terms of XML-based multi-layer annotations and to a text-technological representation of additional knowledge sources is presented. By means of quantitative and qualitative corpus analyses, cues and constraints for automatic discourse analysis can be derived. Furthermore, the proposed representations are used as the input sources for discourse parsing. A short overview of the projected parsing architecture is given.

Metadaten
Author:	Harald Lüngen GND, Maja Bärenfänger, Mirco Hilbert, Henning Lobin GND, Csilla Puskás
URN:	urn:nbn:de:bsz:mh39-48005
ISBN:	978-90-481-3330-7
Parent Title (English):	Linguistic Modeling of Information and Markup Languages. Contributions to Language Technology
Series (Serial Number):	Text, Speech and Language Technology (41)
Publisher:	Springer
Place of publication:	Dordrecht
Editor:	Andreas Witt, Metzing Dieter
Document Type:	Part of a Book
Language:	English
Year of first Publication:	2010
Date of Publication (online):	2016/04/25
Publicationstate:	Postprint
Tag:	Discourse parsing; Discourse relations; Document structure; Linguistic annotations; Text technology; XML
First Page:	97
Last Page:	123
Note:	The final publication is available at Springer via https://dx.doi.org/10.1007/978-90-481-3331-4
DDC classes:	400 Sprache / 410 Linguistik
Open Access?:	ja
Linguistics-Classification:	Computerlinguistik
Licence (German):	Urheberrechtlich geschützt

Open Access