Modeling the illocutionary aspects of information-seeking dialogues
Information Processing and Management: an International Journal
Generating Natural Language under Pragmatic Constraints
Generating Natural Language under Pragmatic Constraints
Aggregation in Natural Language Generation
EWNLG '93 Selected papers from the Fourth European Workshop on Trends in Natural Language Generation, An Artificial Intelligence Perspective
A robust system for natural spoken dialogue
ACL '96 Proceedings of the 34th annual meeting on Association for Computational Linguistics
An Approach to Mixed Initiative Spoken Information Retrieval Dialogue
User Modeling and User-Adapted Interaction
| Hi-index | 0.00 |
A common feature of a number of current spoken dialogue systems for information retrieval is that little emphasis is placed on the generation of system contributions to the dialogue. In these systems, utterances have mostly been produced from templates, see for instance (Whittaker and Attwater 1994; Blomberg et al. 1993; Oerder and Aust 1993; Meng et al. 1996). This is a valid approach in system initiative type systems and in systems where utterances stand in a one-to-one relation to communicative goals. In mixed initiative systems, however, user and system might both lead the dialogue by providing several pieces of information and pursuing several different goals within one utterance. Hence, in this kind of dialogue we cannot predict what information the user chooses to provide, and hence cannot predict the system's response. We argue that in any system of reasonable size, the number of templates would be too large to determine a priori. Instead, in order to achieve efficient and cooperative dialogue, system utterances must be generated using natural language generation (NLG) techniques.