Parmida Atighehchian

Data Augmentation for Intent Classification with Off-the-shelf Large Language Models

2022 · arXiv (Cornell University)

Data augmentation is a widely employed technique to alleviate the problem of data scarcity. In this work, we propose a prompting-based approach to generate labelled training data for intent classification with off-the-shelf language models (LMs) …