Recognizing Implicit Discourse Relations in the Penn Discourse Treebank

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.

• Type: Journal
• Year: 2009
• Where: EMNLP
• Authors: Ziheng Lin, Min-Yen Kan, Hwee Tou Ng
• Keywords: Discourse Relation Classifier, EMNLP 2009, Natural Language Processing, Penn Discourse Treebank, Word Pair Information