Learning from Explanations with Neural Execution Tree
Table 9: SemEval results on 150 explanations and 100 explanations
['Metric', 'SemEval 150 Precision', 'SemEval 150 Recall', 'SemEval 150 F1', 'SemEval 100 Precision', 'SemEval 100 Recall', 'SemEval 100 F1']
As a supplement to Fig. Results show that our model achieves best performance compared with baseline methods.