%0 Journal Article
%T Attribution and its annotation in the Penn Discourse TreeBank
%A Rashmi Prasad
%A Nikhil Dinesh
%A Alan Lee
%A Aravind Joshi
%J Traitement Automatique des Langues
%D 2007
%I Association pour le Traitement Automatique des Langues (ATALA)
%X 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.
%K Attribution
%K discourse relations
%K information extraction
%K Penn Discourse Treebank
%U http://www.atala.org/IMG/pdf/TAL-2006-47-2-03-Prasad.pdf