Neural Network Models for Paraphrase Identification, Semantic Textual Similarity, Natural Language Inference, and Question Answering
Figure 4: Performance vs. training size (log scale in x-axis) on SNLI dataset.
['[BOLD] Models', '[BOLD] Quora', '[BOLD] URL', '[BOLD] PIT', 'train/test']
All the models show improved performance as we increase the training size. ESIM and SSE have very similar trends and clearly outperform PWIM on the SNLI dataset. DecAtt shows a performance jump when the training size exceeds a threshold.