microsoft/DialogRPT-depth

DialogRPT is a set of dialog response ranking models proposed by Microsoft Research NLP Group trained on 100 + millions of human feedback data . The depth score predicts how likely the response is getting a long follow-up discussion thread . It can be used to improve existing dialog generation model (e.g., DialoGPT) by re-ranking the generated response candidates . We considered the following tasks and provided corresponding pretrained models . The tasks were asked to test the accuracy of these tasks and provide corresponding training and evaluation results . The results are based on the training, training, and evaluation and evaluation of the models . We hope to use the results in the next year's EMNLP,