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MỘT CẢI TIẾN CỦA PHOBERT NHẰM TĂNG KHẢ NĂNG HIỂU TIẾNG VIỆT CỦA CHATBOT THÔNG TIN KHÁCH SẠN

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Ngô Văn Sơn và CS. Tập 131, Số 2A, 2022 20 Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers) (pp. 2227–2237). 12. P. Gambhir (2019), In: Proceeding of artificial intelligence and speech technology, Indira Gandhi Delhi Technical University for Women, Delhi 13. P. Suanpang and P. Jamjuntr (2021), A chatbot prototype by deep learning supporting tourism, Psychology and Education, 58(4), 1902-1911 14. Radford, A., Wu, J., Child, R., Luan, D., Amodei, D., & Sutskever, I. (2019). Language models are unsupervised multitask learners. OpenAI Blog, https://openai.com/blog/better-language-models/ 15. Sanh, V., Debut, L., Chaumond, J., & Wolf, T. (2019). DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter. arXiv preprint arXiv:1910.01108. 16. S. Saradha, M. Sathish, Robin Rathaya, B. Mariyappan and B. S. Akash (2019), Travel Assistant Chatbot System, International Journal of Research in Engineering, Science and Management, Volume-2, Issue-2, February-2019 17. Thanh Vu, Dat Quoc Nguyen, Dai Quoc Nguyen, Mark Dras, and Mark Johnson (2018), VnCoreNLP: A Vietnamese Natural Language Processing Toolkit, In Proceedings of NAACL: Demonstrations, pages 56–60 18. T. Nguyen and M. Shcherbakov (2021), Enhancing rasa nlu model for vietnamese chatbot, International Journal of Open Information Technologies, vol. 9, no. 1, pp. 31–36, 2021. 19. Trieu Hai Nguyen, Thi-Kim-Ngoan Pham,Thi-Hong-Minh Bui,Thanh- Quynh- Chau Nguyen (2022),

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Clustering Vietnamese conversations from Facebook page to build training dataset for chatbot, Jordanian Journal of Computers and Information Technology (JJCIT) ,Volume 08, Number 01, pp. 1 - 17, March 2022, doi: 10.5455/jjcit.71-1632557439. 20. Trisha K R, Ebina S, Sahana Akshadha J, Mrs. T. Subashini (2022), Chatbot Application for Tourism Using Deep Learning, In International Journal for Research in Applied Science and Engineering Technology (Vol. 10, Issue 6, pp. 2661–2663) 21. Vu Anh (2019), UnderTheSea, PyPI. [Online]. Available: https://pypi.org/project/underthesea/. [Accessed: 25-Sep-2021] 22. Zhilin Yang, Zihang Dai, Yiming Yang, Jaime Carbonell, Ruslan Salakhutdinov, and Quoc V. Le. 2019. XLNet: generalized autoregressive pretraining for language understanding. Proceedings of the 33rd International Conference on Neural Information Processing Systems. Curran Associates Inc., Red Hook, NY, USA, Article 517, 5753–5763.