Paper: Recognizing Implicit Discourse Relations in the Penn Discourse Treebank

ACL ID D09-1036
Title Recognizing Implicit Discourse Relations in the Penn Discourse Treebank
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2009
Authors

We present an implicit discourse relation classifier in the Penn Discourse Treebank (PDTB). Our classifier considers the con- text of the two arguments, word pair infor- mation, as well as the arguments’ internal constituent and dependency parses. Our results on the PDTB yields a significant 14.1% improvement over the baseline. In our error analysis, we discuss four chal- lenges in recognizing implicit relations in the PDTB.