Paper: Exploiting A Probabilistic Hierarchical Model For Generation

ACL ID C00-1007
Title Exploiting A Probabilistic Hierarchical Model For Generation
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2000
Authors

Previous stochastic approaches to generation do not include a tree-based representation of syntax. While this may be adequate or even advantageous for some applications, other ap- plications profit from using as much syntactic knowledge as is available, leaving to a stochas- tic model only those issues that are not deter- mined by the grammar. We present initial re- suits showing that a tree-based model derived from a tree-annotated corpus improves on a tree model derived from an unannotated corpus, and that a tree-based stochastic model with a hand- crafted grammar outpertbrms both.