Attribution and its Annotation in the Penn Discourse TreeBank

Rashmi Prasad, Nikhil Dinesh, Alan Lee, Aravind Joshi, Bonnie Webber

Research output: Contribution to journalArticlepeer-review

Abstract

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.
Original languageEnglish
Pages (from-to)43-64
Number of pages21
JournalTraitement Automatique des Langues
Volume47
Issue number2
Publication statusPublished - 2007

Keywords

  • Attribution
  • discourse relations
  • information extraction
  • Penn Discourse Treebank

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