Robustness in practical dialogue systems : grounding process modeling and evaluation for misunderstanding management
Identifieur interne : 003F13 ( Main/Merge ); précédent : 003F12; suivant : 003F14Robustness in practical dialogue systems : grounding process modeling and evaluation for misunderstanding management
Auteurs : Alexandre Denis [France]Source :
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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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<front><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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