Kuhn, Jonas (Prof. Dr.)Pagel, Janis2024-10-082024-10-082024190508076Xhttp://nbn-resolving.de/urn:nbn:de:bsz:93-opus-ds-150190http://elib.uni-stuttgart.de/handle/11682/15019http://dx.doi.org/10.18419/opus-15000This thesis describes experiments on enhancing machine-learning based detection of literary character types in German-language dramatic texts by using coreference information. The thesis makes four major contributions to the research discourse of character type detection and coreference resolution for German dramatic texts: (i) a corpus of annotations of coreference on dramatic texts, called GerDraCor-Coref, (ii) a rule-based system to automatically resolve coreferences on dramatic texts, called DramaCoref, as well as experiments and analyses of results by using DramaCoref on GerDraCor-Coref, (iii) experiments on the automatic detection of three selected character types (title characters, protagonists and schemers) using machine-learning approaches, and (iv) experiments on utilizing the coreference information of (i) and (ii) for improving the performance of character type detection of (iii).eninfo:eu-repo/semantics/openAccess004400830doctoralThesis