An Approach for Multiple Choice Question Answering System
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-92942-8_7
Reference9 articles.
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3. Sharma, Y., Gupta, S.: Deep learning approaches for question answering system. Procedia Comput. Sci. 132, 785–794 (2018). https://doi.org/10.1016/j.procs.2018.05.090
4. Yu, V., et al.: A technical question answering system with transfer learning. In: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, pp. 92–99 (2020) https://doi.org/10.18653/v1/2020.emnlp-demos.13
5. Chaturvedi, A., Pandit, D., Garain, U.: CNN for text-based multiple choice question answering. In: Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers, Melbourne, Australia, 2018, pp. 272–277 (2018). https://doi.org/10.18653/v1/P18-2044
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