A Question-Entailment Approach to Question Answering
Table 3: Performance on 850 consumer health questions: Accuracy (%) of Machine Learning and Deep Learning Methods.
['[BOLD] Methods', '[BOLD] Training Datasets  [BOLD] SNLI', '[BOLD] Training Datasets  [BOLD] MultiNLI', '[BOLD] Training Datasets  [BOLD] Quora', '[BOLD] Training Datasets  [BOLD] Clinical-QE']
In the second experiment, we used these datasets for training only and compared their performance on our test set of 850 consumer health questions. Logistic Regression trained on the clinical-RQE data outperformed DL models trained on all datasets, with 73.18% Accuracy.