This paper proposes a new dialogue management architecture for human-machine speech communication systems. In our daily speech communication, incremental, non-deterministic and quick-response behaviors are required for effortless information interchange. Emergent computational architectures, proposed in the robot control domain, are promising to enable such features. The dialogue manager (ECL-DIALOG) consists of multiple "phrase pattern" detectors as input sensors. The CFG driven phrase detectors search for phrase patterns in user utterances and generates numerous emergent slot-filling signals. The system integrates them according to their "phrase pattern" priorities and updates the current task-completion context. When a slot value is updated, the system generates an appropriate response. For example, when the system finds a new slot value from user utterances, the system generates a chiming utterance "yeah". When the context slot is replaced by a different value "Tuesday" that has a lower priority, the system asks for confirmation "On Tuesday?".
Cite as: Kawabata, T. (1998) Emergent computational dialogue management architecture for task-oriented spoken dialogue systems. Proc. 5th International Conference on Spoken Language Processing (ICSLP 1998), paper 0143, doi: 10.21437/ICSLP.1998-90
@inproceedings{kawabata98_icslp,
author={Takeshi Kawabata},
title={{Emergent computational dialogue management architecture for task-oriented spoken dialogue systems}},
year=1998,
booktitle={Proc. 5th International Conference on Spoken Language Processing (ICSLP 1998)},
pages={paper 0143},
doi={10.21437/ICSLP.1998-90}
}