Sense annotation in the Penn discourse treebank

Authors:
Eleni Miltsakaki;Livio Robaldo;Alan Lee;Aravind Joshi
Affiliations:
Institute for Research in Cognitive Science, University of Pennsylvania;Department of Computer Science, University of Turin;Institute for Research in Cognitive Science, University of Pennsylvania;Institute for Research in Cognitive Science, University of Pennsylvania
Venue:
CICLing'08 Proceedings of the 9th international conference on Computational linguistics and intelligent text processing
Year:
2008

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Abstract

An important aspect of discourse understanding and generation involves the recognition and processing of discourse relations. These are conveyed by discourse connectives, i.e., lexical items like because and as a result or implicit connectives expressing an inferred discourse relation. The Penn Discourse TreeBank (PDTB) provides annotations of the argument structure, attribution and semantics of discourse connectives. In this paper, we provide the rationale of the tagset, detailed descriptions of the senses with corpus examples, simple semantic definitions of each type of sense tags as well as informal descriptions of the inferences allowed at each level.