Overgeneration and ranking for spoken dialogue systems

Authors:
Sebastian Varges
Affiliations:
Stanford University, Stanford, CA
Venue:
INLG '06 Proceedings of the Fourth International Natural Language Generation Conference
Year:
2006

Citing 2
Cited 2

Chart generation

ACL '96 Proceedings of the 34th annual meeting on Association for Computational Linguistics
Fluency and completeness in instance-based natural language generation

COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1

The synthetic teammate project

Computational & Mathematical Organization Theory
Toward a situation model in a cognitive architecture

Computational & Mathematical Organization Theory

Quantified Score

Hi-index	0.00

Visualization

Abstract

We describe an implemented generator for a spoken dialogue system that follows the 'overgeneration and ranking' approach. We find that overgeneration based on bottom-up chart generation is well-suited to a) model phenomena such as alignment and variation in dialogue, and b) address robustness issues in the face of imperfect generation input. We report evaluation results of a first user study involving 20 subjects.