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ACL
2006

Discourse Generation Using Utility-Trained Coherence Models

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Discourse Generation Using Utility-Trained Coherence Models
We describe a generic framework for integrating various stochastic models of discourse coherence in a manner that takes advantage of their individual strengths. An integral part of this framework are algorithms for searching and training these stochastic coherence models. We evaluate the performance of our models and algorithms and show empirically that utilitytrained log-linear coherence models outperform each of the individual coherence models considered.
Radu Soricut, Daniel Marcu
Added 30 Oct 2010
Updated 30 Oct 2010
Type Conference
Year 2006
Where ACL
Authors Radu Soricut, Daniel Marcu
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