Paper: Combining Intra- and Multi-sentential Rhetorical Parsing for Document-level Discourse Analysis

ACL ID P13-1048
Title Combining Intra- and Multi-sentential Rhetorical Parsing for Document-level Discourse Analysis
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2013
Authors

We propose a novel approach for develop- ing a two-stage document-level discourse parser. Our parser builds a discourse tree by applying an optimal parsing algorithm to probabilities inferred from two Con- ditional Random Fields: one for intra- sentential parsing and the other for multi- sentential parsing. We present two ap- proaches to combine these two stages of discourse parsing effectively. A set of empirical evaluations over two different datasets demonstrates that our discourse parser significantly outperforms the state- of-the-art, often by a wide margin.