Question Relatedness on Stack Overflow: The Task, Dataset, and Corpus-inspired Models
Table 4: Results for SoftSVM and DotBiLSTM models
['Model/Metrics', 'F-micro', 'Precision', 'Recall']
Comparing the obtained results, we realize that DotBiLSTM substantially outperforms SoftSVM by more than 16 absolute percentage point in F-micro. This suggests that the BiLSTM model can utilize the large amount of training data in Stack Overflow dataset and predict the relatedness between knowledge units more effectively than our traditional model.