Catharine Youngs

Building Adaptive Acceptability Classifiers for Neural NLG

We propose a novel framework to train models to classify acceptability of responses generated by natural language generation (NLG) models, improving upon existing sentence transformation and model-based approaches. An NLG response is considered acceptable if it is both semantically correct and gramm…