Addressing Resource and Privacy Constraints in Semantic Parsing Through Data Augmentation. (arXiv:2205.08675v1 [cs.CL])

We introduce a novel setup for low-resource task-oriented semantic parsing
which incorporates several constraints that may arise in real-world scenarios:
(1) lack of similar datasets/models from a related domain, (2) inability to
sample useful logical forms directly from a grammar, and (3) privacy
requirements for unlabeled natural utterances. Our goal is to improve a
low-resource semantic parser using utterances collected through user
interactions. In this highly challenging but realistic setting, we investigate
data augmentation approaches involving generating a set of …

arxiv augmentation constraints data parsing privacy semantic