Building Adaptive Acceptability Classifiers for Neural NLG
November 7, 2021 By: Soumya Batra, Shashank Jain, Peyman Heidari, Ankit Arun, Catharine Youngs, Xintong Li, Pinar Donmez, Shawn Mei, Shiun-Zu Kuo, Vikas Bhardwaj, Anuj Kumar, Michael White Abstract 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 grammatical. We don’t make use of any human references making […]
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