We present an implicit discourse relation classifier in the Penn Discourse Treebank (PDTB). Our classifier considers the context of the two arguments, word pair information, 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 challenges in recognizing implicit relations in the PDTB.
REF presented an implicit discourse relation classifier in PDTB with the use of contextual relations, constituent Parse Features, dependency parse features and cross-argument word pairs.
Recognizing Implicit Discourse Relations in the Penn Discourse Treebank
EMNLP
Computer Science