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Tracking initiative in collaborative dialogue interactions

机译:协作对话互动中的主动追踪

摘要

A processing system which acts as a participant in the collaborative dialogue is first trained using a training algorithm. The training algorithm computes, in conjunction with a current turn of the training dialogue, a task initiative index and a dialogue initiative index for a next turn of the dialogue, using cues observed during the current turn, probability assignments associated with the observed cues, and current values of the task initiative index and the dialogue initiative index. The algorithm then predicts a task initiative holder and a dialogue initiative holder for the next turn of the training dialogue, using the task initiative index and dialogue initiative index computed for the next turn. The probability assignments associated with the observed cues are adjusted if the predicted task and dialogue initiative holders do not agree with corresponding respective actual task and dialogue initiative holders for the next turn. The computing, predicting and adjusting operations are repeated for each of the turns of the training dialogue in order to determine appropriate probability assignments for a given set of cues. The processing system then uses the resulting probability assignments to predict initiative shifts in an actual dialogue in which the system acts as a participant.
机译:首先使用训练算法来训练充当协作对话的参与者的处理系统。训练算法结合当前轮次的训练对话,使用当前轮次观察到的线索,与观察到的线索相关联的概率分配来计算任务主动性索引和下一轮对话的对话主动性索引。任务主动性索引和对话主动性索引的当前值。然后,算法使用为下一轮计算的任务主动性指数和对话主动性指数,预测下一轮训练对话的任务主动权所有者和对话主动权所有者。如果预测任务和对话主动权持有者与下一轮的相应实际任务和对话主动权持有者不一致,则调整与观察到的线索相关的概率分配。对于训练对话的每个回合重复计算,预测和调整操作,以便为给定线索集确定适当的概率分配。然后,处理系统使用所得的概率分配来预测系统充当参与者的实际对话中的主动转移。

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