Evaluating a Trainable Sentence Planner for a Spoken Dialogue Travel System
نویسندگان
چکیده
This paper reports on the evaluation of a trainable sentence planner. We compare a trainable sentence planner with a currently operational hand-crafted template-based generator, two rule-based generators and two baseline generators. We show that the trainable sentence planner performs as well as the hand-crafted generator and better than the rule-based and baseline generators. Evaluating a Trainable Sentence Planner for a Spoken Dialogue Travel System Paper-ID: ACL-2001-0315
منابع مشابه
Evaluating a Trainable Sentence Planner for a Spoken Dialogue System
Techniques for automatically training modules of a natural language generator have recently been proposed, but a fundamental concern is whether the quality of utterances produced with trainable components can compete with hand-crafted template-based or rulebased approaches. In this paper We experimentally evaluate a trainable sentence planner for a spoken dialogue system by eliciting subjective...
متن کاملIndividual and Domain Adaptation in Sentence Planning for Dialogue
One of the biggest challenges in the development and deployment of spoken dialogue systems is the design of the spoken language generation module. This challenge arises from the need for the generator to adapt to many features of the dialogue domain, user population, and dialogue context. A promising approach is trainable generation, which uses general-purpose linguistic knowledge that is autom...
متن کاملA trainable generator for recommendations in multimodal dialog
As the complexity of spoken dialogue systems has increased, there has been increasing interest spoken language generation (SLG). SLG promises portability across application domains and dialogue situations through the development of applicationindependent linguistic modules. However in practice, rulebased SLGs often have to be tuned to the application. Recently, a number of research groups have ...
متن کاملTrainable Sentence Planning for Complex Information Presentations in Spoken Dialog Systems
A challenging problem for spoken dialog systems is the design of utterance generation modules that are fast, flexible and general, yet produce high quality output in particular domains. A promising approach is trainable generation, which uses general-purpose linguistic knowledge automatically adapted to the application domain. This paper presents a trainable sentence planner for the MATCH dialo...
متن کاملTraining a sentence planner for spoken dialogue using boosting
In the past few years, as the number of dialogue systems has increased, there has been an increasing interest in the use of natural language generation in spoken dialogue. Our research assumes that trainable natural language generation is needed to support more flexible and customized dialogues with human users. This paper focuses on methods for automatically training the sentence planning modu...
متن کامل