Text-level Discourse Parsing with Rich Linguistic Features

In this paper, we develop an RST-style textlevel discourse parser, based on the HILDA discourse parser (Hernault et al., 2010b). We significantly improve its tree-building step by incorporating our own rich linguistic features. We also analyze the difficulty of extending traditional sentence-level discourse parsing to text-level parsing by comparing discourseparsing performance under different discourse conditions.

• Type: Journal
• Year: 2012
• Where: ACL
• Authors: Vanessa Wei Feng, Graeme Hirst
• Keywords: ACL 2012, Computational Linguistics, Discourse Parsing, Linguistic Features, Sentence Level