Hierarchical Pointer Memory Network for Task Oriented Dialogue
arXiv: Learning, Volume abs/1805.01216, 2018.
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Abstract:
We observe that end-to-end memory networks (MN) trained for task-oriented dialogue, such as for recommending restaurants to a user, suffer from an out-of-vocabulary (OOV) problem -- the entities returned by the Knowledge Base (KB) may not be seen by the network at training time, making it impossible for it to use them in dialogue. We prop...More
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