Building natural language generation systems
Building natural language generation systems
Presenting tailored resource descriptions: will XSLT do the job?
Proceedings of the 9th international World Wide Web conference on Computer networks : the international journal of computer and telecommunications netowrking
Predicting and Adapting to Poor Speech Recognition in a Spoken Dialogue System
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
EACL '89 Proceedings of the fourth conference on European chapter of the Association for Computational Linguistics
Discourse obligations in dialogue processing
ACL '94 Proceedings of the 32nd annual meeting on Association for Computational Linguistics
Integrating natural language generation with XML web technology
EACL '03 Proceedings of the tenth conference on European chapter of the Association for Computational Linguistics - Volume 2
Adaptive dialogue systems - interaction with interact
SIGDIAL '02 Proceedings of the 3rd SIGdial workshop on Discourse and dialogue - Volume 2
User expertise modelling and adaptivity in a speech-based e-mail system
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
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The paper addresses the issue of how to increase adaptivity in response generation for a spoken dialogue system. Realization strategies for dialogue responses depend on communicative confidence levels and interaction management goals. We first describe a Java/XML-based generator which produces different realizations of system responses based on agendas specified by the dialogue manager. We then discuss how greater adaptivity can be achieved by using a set of distinct generator agents, each of which is specialized in its realization strategy (e.g. highly elliptical or highly explicit). This allows a simpler design of each generator agent, while increasing the overall system adaptivity to meet the requirements for flexible cooperation in incremental and immediate interactive situations.