Strong Baselines for Simple Question Answering overKnowledge Graphs with and without Neural Networks
Table 2: Results for relation prediction on the validation set using different models.
['[BOLD] Model', '[BOLD] R@1', '[BOLD] R@5']
We are able to achieve slightly better accuracy. Interestingly, we see that the CNN slightly outperforms the BiGRU (which beats the BiLSTM slightly; not shown) on R@1, but both give essentially the same results for R@5. Compared to LR, it seems clear that for this task NNs form a superior solution.