Entity-aware answer sentence selection for question answering with transformer-based language models
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture,Information Systems,Software
Link
https://link.springer.com/content/pdf/10.1007/s10844-022-00724-6.pdf
Reference50 articles.
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3. Cortes, E.G., Woloszyn, V., Barone, D., Möller, S, & Vieira, R. (2021). A systematic review of question answering systems for non-factoid questions. Journal of Intelligent Information Systems, 1–28. https://doi.org/10.1007/s10844-021-00655-8
4. Devlin, J., Chang, M.W., Lee, K., & Toutanova, K. (2019). BERT: Pre-training Of deep bidirectional transformers for language understanding. In Proceedings of the 2019 conference of the north american chapter of the association for computational linguistics: human language technologies Volume 1 (Long and Short Papers) (pp. 4171–4186). Minneapolis: Association for Computational Linguistics. https://doi.org/10.18653/v1/N19-1423
5. Dimitrakis, E., Sgontzos, K., & Tzitzikas, Y. (2020). A survey on question answering systems over linked data and documents. Journal of Intelligent Information Systems, 55(2), 233–259.
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