3 accepted papers
Detecting out-of-domain (OOD) intents is critical in a task-oriented dialog system. Existing methods rely heavily on extensive manually labeled OOD samples and lack robustness. In this paper, we propose an efficient adversarial attack mechanism to augment hard OOD samples and design a novel generati…
Detecting out-of-domain (OOD) input intents is critical in the task-oriented dialog system. Different from most existing methods that rely heavily on manually labeled OOD samples, we focus on the unsupervised OOD detection scenario where there are no labeled OOD samples except for labeled in-domain…
In task-oriented dialogue systems, dialogue state tracking (DST) is an essential part which aims to estimate user goal at every turn 1 of the dialogue. At each turn, DST aims to estimate user goals by current user utterance and last system action. However, most current approaches encode these releva…