Neural Relation Prediction for Simple Question Answering over Knowledge Graph
Table 1: Comparison of different neural text matching models on the proposed instance-based Q′−Q network
['Model', 'Accuracy (%)']
Considering the available text matching models, in the first step of our experiments, we trained different text matching models on the training data. As can be seen, the MatchPyramid model performs the best on the proposed model. Considering these results, MatchPyramid has been used as the base of our model in further steps.