Privacy-Preserving Medical Dialogue Generation Based on Federated Learning
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-9864-7_15
Reference20 articles.
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3. Keshmiri, S., Sumioka, H., Yamazaki, R., Ishiguro, H.: Decoding the perceived difficulty of communicated contents by older people: toward conversational robot-assistive elderly care. IEEE Robot. Autom. Lett. 4(4), 3263–3269 (2019)
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5. Lin, X., He, X., Chen, Q., Tou, H., Wei, Z., Chen, T.: Enhancing dialogue symptom diagnosis with global attention and symptom graph. In: Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, Hong Kong, China, pp. 5032–5041 (2019)
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