An End-to-End Dialogue State Tracking System withMachine Reading Comprehension and Wide & Deep Classification
Table 4: Uses different models to solve the effect of numerical slot in development set
['[EMPTY]', 'Accuracy']
The experiment results on the development dataset show that MRC is superior to other methods. Using the MRC model to solve the problem of the numerical slot has achieved the best results, the accuracy reachs 0.9858, more than 0.03 improvement over the Wide & Deep model and compared to a 0.05 increase over the RoBERTa classification model.