Hyunsun Hwang

Rule Discovery for Natural Language Inference Data Generation Using Out-of-Distribution Detection

Natural Language Inference (NLI) is a fundamental task in Natural Language Processing (NLP), yet adapting NLI models to new domains remains challenging due to the high cost of collecting domain-specific training data. While prior work proposed 15 sentence transformation rules to automate training da