TY  - CHAP
U1  - Buchbeitrag
A1  - Lobin, Henning
A1  - Lüngen, Harald
A1  - Hilbert, Mirco
A1  - Bärenfänger, Maja
ED  - Mehler, Alexander
ED  - Kühnberger, Kai-Uwe
ED  - Lobin, Henning
ED  - Lüngen, Harald
ED  - Storrer, Angelika
ED  - Witt, Andreas
T1  - Processing Text-Technological Resources in Discourse Parsing
T2  - Modeling, Learning, and Processing of Text-Technological Data Structures
N2  - Discourse parsing of complex text types such as scientific research articles requires the analysis of an input document on linguistic and structural levels that go beyond traditionally employed lexical discourse markers. This chapter describes a text-technological approach to discourse parsing. Discourse parsing with the aim of providing a discourse structure is seen as the addition of a new annotation layer for input documents marked up on several linguistic annotation levels. The discourse parser generates discourse structures according to the Rhetorical Structure Theory. An overview of the knowledge sources and components for parsing scientific joumal articles is given. The parser’s core consists of cascaded applications of the GAP, a Generic Annotation Parser. Details of the chart parsing algorithm are provided, as well as a short evaluation in terms of comparisons with reference annotations from our corpus and with recently developed Systems with a similar task.
T3  - Studies in Computational Intelligence - 370 
KW  - Computerlinguistik
KW  - Textanalyse
KW  - Parsing
Y1  - 2011
UN  - https://nbn-resolving.org/urn:nbn:de:bsz:mh39-48317
SN  - 978-3-642-22612-0 (Print)
SB  - 978-3-642-22612-0 (Print)
SN  - 978-3-642-22613-7 (Online)
SB  - 978-3-642-22613-7 (Online)
U6  - https://doi.org/10.1007/978-3-642-22613-7_3
DO  - https://doi.org/10.1007/978-3-642-22613-7_3
N1  - The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-642-22613-7_3
SP  - 35
EP  - 58
PB  - Springer
CY  - Berlin/Heidelberg
ER  -