@inproceedings{galley2001hybrid,
author = {Galley, Michel and Fosler-Lussier, Eric and Potamianos, Alexandros},
title = {Hybrid Natural Language Generation For Spoken Dialogue Systems},
booktitle = {Proceedings of the 7th European Conference on Speech Communication and Technology (EUROSPEECH–01)},
year = {2001},
month = {September},
abstract = {The natural language generation component of most dialogue systems is based on templates. Template-based generators are hard to maintain and reuse, and the sentences they produce lack the variability and robustness needed by conversational systems. In this paper, a flexible and domain-independent natural language generator for spoken dialogue systems is proposed which combines fixed surface expressions with freely generated text. The generation algorithm follows a hybrid approach, combining finite state machine (FSM) grammars and corpus-based language models. In this approach, the FSM grammar (a reversible parser grammar) is constrained by a word and concept n-gram that takes terminals and non-terminal co-occurrences into account. The n-gram grammar helps prevent inappropriate derivations, therefore improving the quality of the generated texts. The proposed algorithm achieves faster than real-time performance because of the limited number of derivations.},
url = {http://approjects.co.za/?big=en-us/research/publication/hybrid-natural-language-generation-for-spoken-dialogue-systems/},
pages = {1735-1738},
edition = {Proceedings of the 7th European Conference on Speech Communication and Technology (EUROSPEECH–01)},
}