State Value Generation with Prompt Learning and Self-Training for Low-Resource Dialogue State Tracking. (arXiv:2401.16862v1 [cs.CL])

Recently, low-resource dialogue state tracking (DST) has received increasing
attention. First obtaining state values then based on values to generate slot
types has made great progress in this task. However, obtaining state values is
still an under-studied problem. Existing extraction-based approaches cannot
capture values that require the understanding of context and are not
generalizable either. To address these issues, we propose a novel State VAlue
Generation based framework (SVAG), decomposing DST into state value generation
and domain slot generation. Specifically, …

arxiv attention cs.cl dialogue extraction generate low progress prompt prompt learning self-training state tracking training types value values