Multi-Perspective Inferrer:Reasoning Sentences Relationship from Holistic Perspective
Table 1: Performance on SNLI and MultiNLI (matched/ mismatched) test datasets. Our MPIs models are implemented on both cross alignment baseline and BERT. vtest is the test speed compared to the baseline.
['[BOLD] Models', '[BOLD] \xa0SNLI', '[BOLD] MultiNLI']
Our approach achieves the best performance on both SNLI (BERT+IMPI) and MultiNLI (BERT+IMPI) test datasets compared to the previous studies. In detail, our MPIs achieve 1.2 percent improvement over cross alignment baseline, and 0.7 percent improvement over BERT baseline. The significant improvement on two NLI datasets demonstrates that our motivation of inferring relationships from multiple perspectives does make sense.