Attribution and its annotation in the Penn Discourse TreeBank

Rashmi Prasad*, Nikhil Dinesh*, Alan Lee*, Aravind Joshi* and Bonnie Webber**
*Institute for Research in Cognitive Science (IRCS); 3401 Walnut Street, Philadelphia, PA 19104;;;;
**University of Edinburgh; Edinburgh, EH8 9LW Scotland;
Résumé (en anglais)
In this paper, we describe an annotation scheme for the attribution of abstract objects (propositions, facts, and eventualities) associated with discourse relations and their arguments annotated in the Penn Discourse TreeBank. The scheme aims to capture both the source and degrees of factuality of the abstract objects through the annotation of text spans signalling the attribution, and of features recording the source, type, scopal polarity, and determinacy of attribution.