1. Abujabal, A., Yahya, M., Riedewald, M., & Weikum, G. (2017, April). Automated template generation for question answering over knowledge graphs. In Proceedings of the 26th international conference on world wide web (pp. 1191–1200).
2. Angeli, G., Premkumar, M. J. J., & Manning, C. D. (2015, July). Leveraging linguistic structure for open domain information extraction. In Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) (pp. 344–354).
3. Bao, J., Duan, N., Yan, Z., Zhou, M., & Zhao, T. (2016, December). Constraint-based question answering with knowledge graph. In Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers (pp. 2503–2514).
4. Berant, J., Chou, A., Frostig, R., & Liang, P. (2013, October). Semantic parsing on freebase from question-answer pairs. In Proceedings of the 2013 conference on empirical methods in natural language processing (pp. 1533–1544).
5. Bhutani, N., Zheng, X., Qian, K., Li, Y., & Jagadish, H. (2020, July). Answering complex questions by combining information from curated and extracted knowledge bases. In Proceedings of the First Workshop on Natural Language Interfaces (pp. 1–10).