Papers by Le Hong Long

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Challenge:	Empirical results show that our method outperforms the state-of-the-art methods in terms of joint belief accuracy.
Approach:	They propose to track dialogue states gradually with reasoning over dialogue turns using the back-end data.
Outcome:	Empirical results show that the proposed method outperforms state-of-the-art methods in terms of joint belief accuracy for a large-scale human–human dialogue dataset.