Improved Neural Relation Detection for Knowledge Base Question Answering
Table 2: Accuracy on the SimpleQuestions and WebQSP relation detection tasks (test sets). The top shows performance of baselines. On the bottom we give the results of our proposed model together with the ablation tests.
['[BOLD] Model', '[BOLD] Relation Input Views', '[BOLD] Accuracy  [BOLD] SimpleQuestions', '[BOLD] Accuracy  [BOLD] WebQSP']
We could perform the above hierarchical matching by computing the similarity between each layer of Γ and hr separately and doing the (weighted) sum between the two scores. This is mainly because (1) Deep BiLSTMs do not guarantee that the two-levels of question hidden representations are comparable, the training usually falls to local optima where one layer has good matching scores and the other always has weight close to 0. (2) The training of deeper architectures itself is more difficult.