UnrestrictedSpoken dialogue systems -- computers that interact with humans through spoken conversations -- must become more robust before they will be widely accepted. One tradition in improving error-handling in spoken dialogue systems involves studying and implementing grounding behavior as used by humans. When humans converse, they typically work together to establish mutual understanding by using behavior such as repetitions, acknowledgments, and repairs. These types of evidence of understanding combine to help humans establish that the material under discussion is mutually understood to a level sufficient for the current purposes. However, previous work in grounding has not examined how to explicitly represent the degree to which mat...
This work reports on the literature on grounding in conversational agents, as one of the pragmatic a...
PosterMachine learning methods such as reinforcement learning applied to dialogue strategy optimizat...
PosterMachine learning methods such as reinforcement learning applied to dialogue strategy optimizat...
Computational models of grounding are extended to include representations of degrees of groundedness...
We describe the Degrees of Grounding model, which tracks the extent to which material has reached mu...
Abstract We present a computational model of incremen-tal grounding, including state updates and act...
Recent advances in incremental language processing for dialogue systems promise to enable more natur...
Recent advances in incremental language processing for dialogue systems promise to enable more natur...
We present a computational model of incremental grounding, including state updates and action select...
We present a computational model of incremental grounding, including state updates and action select...
Machine learning methods such as reinforcement learning applied to dialogue strategy optimization ha...
PosterMachine learning methods such as reinforcement learning applied to dialogue strategy optimizat...
Abstract: "The process of adding to the common ground between conversational participants (called gr...
International audienceThe process of "conversational grounding" is an interactive process that has b...
This paper presents a principled approach to reducing the occurrence of communication failure in spo...
This work reports on the literature on grounding in conversational agents, as one of the pragmatic a...
PosterMachine learning methods such as reinforcement learning applied to dialogue strategy optimizat...
PosterMachine learning methods such as reinforcement learning applied to dialogue strategy optimizat...
Computational models of grounding are extended to include representations of degrees of groundedness...
We describe the Degrees of Grounding model, which tracks the extent to which material has reached mu...
Abstract We present a computational model of incremen-tal grounding, including state updates and act...
Recent advances in incremental language processing for dialogue systems promise to enable more natur...
Recent advances in incremental language processing for dialogue systems promise to enable more natur...
We present a computational model of incremental grounding, including state updates and action select...
We present a computational model of incremental grounding, including state updates and action select...
Machine learning methods such as reinforcement learning applied to dialogue strategy optimization ha...
PosterMachine learning methods such as reinforcement learning applied to dialogue strategy optimizat...
Abstract: "The process of adding to the common ground between conversational participants (called gr...
International audienceThe process of "conversational grounding" is an interactive process that has b...
This paper presents a principled approach to reducing the occurrence of communication failure in spo...
This work reports on the literature on grounding in conversational agents, as one of the pragmatic a...
PosterMachine learning methods such as reinforcement learning applied to dialogue strategy optimizat...
PosterMachine learning methods such as reinforcement learning applied to dialogue strategy optimizat...