论文标题
通过在上述插槽库中继承插槽值来跟踪对话状态
On Tracking Dialogue State by Inheriting Slot Values in Mentioned Slot Pools
论文作者
论文摘要
对话状态跟踪（DST）是面向任务对话系统的组成部分。它负责根据对话说法提取和管理插槽值，在对话说法中，每个插槽代表完成任务的重要组成部分，并且在每个对话转弯时，都会反复更新插槽值。但是，许多DST模型无法适当更新插槽值。这些模型可以反复继承上一轮提取的错误插槽值，从而导致整个DST任务的失败。他们也不能很好地更新插槽。这项研究设计了一个具有上述老虎机（MSP）的模型，以解决更新问题。 MSP是一个特定于插槽的内存，记录所有可能继承的插槽值，我们的模型根据MSP和对话上下文更新插槽值。我们的模型拒绝以前的插槽值鉴定值是错误的。然后，它从当前的对话上下文中重新提取插槽值。随着上下文信息随着对话的进度积累，新值更可能是正确的。它还可以通过从MSP选择一个值来跟踪间接提到的插槽。实验结果表明，我们的模型达到了多沃兹2.1和2.2数据集的最先进的DST性能。
Dialogue state tracking (DST) is a component of the task-oriented dialogue system. It is responsible for extracting and managing slot values according to dialogue utterances, where each slot represents an essential part of the information to accomplish a task, and slot value is updated recurrently in each dialogue turn. However, many DST models cannot update slot values appropriately. These models may repeatedly inherit wrong slot values extracted in previous turns, resulting in the fail of the entire DST task. They cannot update indirectly mentioned slots well, either. This study designed a model with a mentioned slot pool (MSP) to tackle the update problem. The MSP is a slot-specific memory that records all mentioned slot values that may be inherited, and our model updates slot values according to the MSP and the dialogue context. Our model rejects inheriting the previous slot value when it predicates the value is wrong. Then, it re-extracts the slot value from the current dialogue context. As the contextual information accumulates with the dialogue progress, the new value is more likely to be correct. It also can track the indirectly mentioned slot by picking a value from the MSP. Experimental results showed our model reached state-of-the-art DST performance on MultiWOZ 2.1 and 2.2 datasets.
