Abstract
With the rapid growth of knowledge bases (KBs), question answering over knowledge base, a.k.a. KBQA has drawn huge attention in recent years. Most of the existing methods follow the simply matching method and search the answer from the whole knowledge bases. Despite the effectiveness of above approaches, there are two key issues should be settled, i.e., how to reconstruct knowledge bases effectively and how to search answer efficiently. In this paper, we introduce a simple model to construct large-scale knowledge base as graph and generate a set of candidate answer from efficient answer search. To verify our model, we conduct extensive experiments on Simple Question benchmarks. The experimental results greatly confirm the effectiveness of our model.
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Ran, S., Yifan, W., Shining, L., **wei, C., Jianfeng, X. (2020). Reconstruction and Re-ranking: A Simple and Effective Approach for Question Answering. In: Huang, DS., Bevilacqua, V., Hussain, A. (eds) Intelligent Computing Theories and Application. ICIC 2020. Lecture Notes in Computer Science(), vol 12463. Springer, Cham. https://doi.org/10.1007/978-3-030-60799-9_47
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