Real-Time Stochastic Language Generation for Dialogue Systems
نویسنده
چکیده
This paper describes Acorn, a sentence planner and surface realizer for dialogue systems. Improvements to previous stochastic word-forest based approaches are described, countering recent criticism of this class of algorithms for their slow speed. An evaluation of the approach with semantic input shows runtimes of a fraction of a second and presents results that suggest it is also portable across domains.
منابع مشابه
Stochastic Language Generation For Spoken Dialogue Systems
The two current approaches to language generation, template-based and rule-based (linguistic) NLG, have limitations when applied to spoken dialogue systems, in part because they were developed for text generation. In this paper, we propose a new corpus-based approach to natural language generation, specifically designed for spoken dialogue systems.
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