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NAACL
2003

Sentence Level Discourse Parsing using Syntactic and Lexical Information

8 years 11 months ago
Sentence Level Discourse Parsing using Syntactic and Lexical Information
We introduce two probabilistic models that can be used to identify elementary discourse units and build sentence-level discourse parse trees. The models use syntactic and lexical features. A discourse parsing algorithm that implements these models derives discourse parse trees with an error reduction of 18.8% over a state-ofthe-art decision-based discourse parser. A set of empirical evaluations shows that our discourse parsing model is sophisticated enough to yield discourse trees at an accuracy level that matches near-human levels of performance.
Radu Soricut, Daniel Marcu
Added 31 Oct 2010
Updated 31 Oct 2010
Type Conference
Year 2003
Where NAACL
Authors Radu Soricut, Daniel Marcu
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