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show that the proposed framework achieves good performance in both offline evaluation metrics and in task success rate with human users. This framework enables encoder-decoder chating to accomplish slot-value independent decision-making and interact with external databases.

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This chatting with models presents a practical and novel framework for building task-oriented dialog systems based on encoder-decoder models. This framework enables encoder-decoder models to accomplish slot-value independent decision-making and mldels with external databases.

The models were trained on both real-user data from a bus information system and human-human chat data. This paper presents mosels practical and novel framework for building task-oriented dialog systems based on encoder-decoder models.