A Question-Entailment Approach to Question Answering
Table 2: Accuracy (%) of Deep Learning and Machine Learning methods on four datasets SNLI, MultiNLI, Quora, and Clinical-QE.
['[BOLD] Methods', '[BOLD] Textual Datasets  [BOLD] SNLI (2015)', '[BOLD] Textual Datasets  [BOLD] MultiNLI (2017)', '[BOLD] Question Datasets  [BOLD] Quora (2017)', '[BOLD] Question Datasets  [BOLD] Clinical-QE (2016)']
The DL model with GloVe word embeddings achieved better results on three datasets, with 82.80% Accuracy on SNLI, 78.52% Accuracy on MultiNLI, and 83.62% Accuracy on Quora. Logistic Regression achieved the best Accuracy of 98.60% on Clinical-RQE. We also performed a 10-fold cross-validation on the full Clinical-QE data of 8,588 question pairs, which gave 98.61% Accuracy.