A Comparative Study of Question Answering over Knowledge Bases

Author:

Tran Khiem Vinh,Phan Hao Phu,Quach Khang Nguyen Duc,Nguyen Ngan Luu-Thuy,Jo Jun,Nguyen Thanh Tam

Publisher

Springer Nature Switzerland

Reference18 articles.

1. Chakraborty, N., Lukovnikov, D., Maheshwari, G., Trivedi, P., et al.: Introduction to neural network-based question answering over knowledge graphs. WIREs DMKD 11(3), e1389 (2021)

2. Costa, J.O., Kulkarni, A.: Leveraging knowledge graph for open-domain question answering. In: WI, pp. 389–394 (2018)

3. Dubey, M., Banerjee, D., Chaudhuri, D., Lehmann, J.: EARL: joint entity and relation linking for question answering over knowledge graphs. In: ISWC, pp. 108–126 (2018)

4. Gao, Y., Tian, X., Zhou, J., Zheng, B., Li, H., Zhu, Z.: Knowledge graph embedding based on quaternion transformation and convolutional neural network. In: ADMA, pp. 128–136 (2022)

5. Hu, S., Zou, L., Yu, J.X., Wang, H., Zhao, D.: Answering natural language questions by subgraph matching over knowledge graphs. TKDE 30(5), 824–837 (2018)

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