An Attention-Based Word-Level Interaction Model: Relation Detection for Knowledge Base Question Answering
Table 2: Comparison of accuracy with the baselines on the SimpleQuestions and WebQuestions
['Model', 'Relation Input', 'SimpleQuestions', 'WebQuestions']
Our method comes close to the performance of the state-of-the-art method on SimpleQuestions dataset. On the WebQuestions dataset, our method outperforms the best baseline methods by 2.79 points. Questions and relations in the WebQuestion dataset are longer and the information loss problem is more serious, thus ABWIM outperforms the encoding-comparing baseline methods. The experimental results demonstrate the effectiveness of ABWIM, which learns the word-level interactions and aggregates the comparison results with multi-kernel CNN networks.