We use classifiers targeting various types of errors using synthetically generated data.
we train four classifiers that distinguish true response sentences from the dataset and negative sentences we create that reflect a specific type of semantic implausibility: Phrase compatibility: We split all the training data into phrases by splitting sentences on punctuation or discourse connectives.