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Robustness in practical dialogue systems : grounding process modeling and evaluation for misunderstanding management

Identifieur interne : 003F13 ( Main/Merge ); précédent : 003F12; suivant : 003F14

Robustness in practical dialogue systems : grounding process modeling and evaluation for misunderstanding management

Auteurs : Alexandre Denis [France]

Source :

RBID : Hal:tel-00337286

Descripteurs français

English descriptors

Abstract

Dialogue systems in natural language are error-prone. We advocate the resolution of these errors within the collaborative model of Clark & Schaefer (1989) : each participant is willing to reach the mutual understanding by providing evidence he understands his partner's utterances. This raises the problem of recursive acceptance as noted by Traum (1994,1999) but existing models that solve this problem either make important simplifications or are too complex to implement. We propose to consider shared beliefs of understanding in order to guide the grounding process. We implemented the model and made an evaluation of its accuracy within the simulation paradigm. We evaluated wether two systems are able to ground an utterance. This setup allows fine-grained analysis of a wide range of grounding problems. Eventually, the evaluation results show the efficiency of grounding while measuring the gain of understanding.

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Hal:tel-00337286

Le document en format XML

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<div type="abstract" xml:lang="en">Dialogue systems in natural language are error-prone. We advocate the resolution of these errors within the collaborative model of Clark & Schaefer (1989) : each participant is willing to reach the mutual understanding by providing evidence he understands his partner's utterances. This raises the problem of recursive acceptance as noted by Traum (1994,1999) but existing models that solve this problem either make important simplifications or are too complex to implement. We propose to consider shared beliefs of understanding in order to guide the grounding process. We implemented the model and made an evaluation of its accuracy within the simulation paradigm. We evaluated wether two systems are able to ground an utterance. This setup allows fine-grained analysis of a wide range of grounding problems. Eventually, the evaluation results show the efficiency of grounding while measuring the gain of understanding.</div>
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