Publication at Faculty of Mathematics and Physics |
2017
Abstract
Describing implicit phenomena in discourse is known to be a problematic task, both from the theoretical and from the empirical perspective. The present article contributes to this topic by a novel comparative analysis of two prominent annotation approaches to discourse (coherence) relations that were carried out on the same texts.
We compare the annotation of implicit relations in the Penn Discourse Treebank 2.0, i.e. discourse relations not signalled by an explicit discourse connective, to the recently released analysis of signals of rhetorical relations in the RST Signalling Corpus. Our data transformation allows for a simultaneous depiction and detailed study of these two resources.