A Full Information Enhanced Question Answering System Based on Hierarchical Heterogeneous Crowd Intelligence Knowledge Graph
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-4549-6_22
Reference22 articles.
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2. Lukovnikov, D., Fischer, A., Lehmann, J., et al.: Neural network-based question answering over knowledge graphs on word and character level. In: Proceedings of the 26th International Conference on World Wide Web, pp. 1211–1220 (2017)
3. Saha, A., Pahuja, V., Khapra, M.M., et al.: Complex sequential question answering: towards learning to converse over linked question answer pairs with a knowledge graph. In: Thirty-Second AAAI Conference on Artificial Intelligence (2018)
4. Huang, X., Zhang, J., Li, D., et al.: Knowledge graph embedding based question answering. In: Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, pp. 105–113 (2019)
5. Sawant, U., Garg, S., Chakrabarti, S., et al.: Neural architecture for question answering using a knowledge graph and web corpus. Inf. Retriev. J. 22(3), 324–349 (2019)
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