@article{BaerenfaengerHilbertLobinetal.2018,
  author    = {Maja B{\"a}renf{\"a}nger and Mirco Hilbert and Henning Lobin and Harald L{\"u}ngen},
  title     = {OWL ontologies as a resource for discourse parsing},
  series   = {LDV-Forum - GLDV-Journal for Computational 
Linguistics and Language Technology},
  volume    = {23},
  number    = {1},
  publisher = {Gesellschaft f{\"u}r Linguistische Datenverarbeitung},
  address   = {Bonn},
  issn      = {0175-1336},
  url       = {https://nbn-resolving.org/urn:nbn:de:bsz:mh39-76105},
  pages     = {17 -- 26},
  year      = {2018},
  abstract  = {In the project SemDok (Generic document structures in linearly organised texts) funded by the German Research Foundation DFG, a discourse parser for a complex type (scientific articles by example), is being developed. Discourse parsing (henceforth DP) according to the Rhetorical Structure Theory (RST) (Mann and Taboada, 2005; Marcu, 2000) deals with automatically assigning a text a tree structure in which discourse segments and rhetorical relations between them are marked, such as Concession. For identifying the combinable segments, declarative rules are employed, which describe linguistic and structural cues and constraints about possible combinations by referring to different XML annotation layers of the input text, and external knowledge bases such as a discourse marker lexicon, a lexico-semantic ontology (later to be combined with a domain ontology), and an ontology of rhetorical relations. In our text-technological environment, the obvious choice of formalism to represent such ontologies is OWL (Smith et al., 2004). In this paper, we describe two OWL ontologies and how they are consulted from the discourse parser to solve certain tasks within DP. The first ontology is a taxononomy of rhetorical relations which was developed in the project. The second one is an OWL version of GermaNet, the model of which we designed together with our project partners.},
  language  = {en}
}