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Code for the paper 'Personalization in Goal-oriented Dialog' (NeurIPS 2017 Conversational AI Workshop)

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Hello, I found a performance issue in the definition of _inference, MemN2N-split-memory/memn2n/memn2n_dialog.py, [`tf.nn.embedding_lookup(self.A, stories)`](https://github.com/chaitjo/personalized-dialog/blob/4f94e3dc1376e4e6aa1e5be3ec08b9f56871c98e/MemN2N-split-memory/memn2n/memn2n_dialog.py#L157) will be created repeatedly during program execution, resulting in reduced efficiency. I think it should be...