Volltext-Downloads (blau) und Frontdoor-Views (grau)

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.

Export metadata

Additional Services

Search Google Scholar


Author:Harald LüngenGND, Maja Bärenfänger, Mirco Hilbert, Henning LobinGND, Csilla Puskás
Parent Title (English):Linguistic Modeling of Information and Markup Languages. Contributions to Language Technology
Series (Serial Number):Text, Speech and Language Technology (41)
Place of publication:Dordrecht
Editor:Andreas Witt, Metzing Dieter
Document Type:Part of a Book
Year of first Publication:2010
Date of Publication (online):2016/04/25
Tag:Discourse parsing; Discourse relations; Document structure; Linguistic annotations; Text technology; XML
First Page:97
Last Page:123
The final publication is available at Springer via 
DDC classes:400 Sprache / 410 Linguistik
Open Access?:ja
Licence (German):License LogoUrheberrechtlich geschützt