Applying Generative Language Models to Generate Synthetic Medical Records: ChaVinci

Jing-Yun Lin; Xu-Qing Li; Sheng-Luen Chung

Applying Generative Language Models to Generate Synthetic Medical Records: ChaVinci

Jing-Yun Lin, Xu-Qing Li, Sheng-Luen Chung

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Anthology ID:: 2024.rocling-1.19
Volume:: Proceedings of the 36th Conference on Computational Linguistics and Speech Processing (ROCLING 2024)
Month:: November
Year:: 2024
Address:: Taipei City, Taiwan
Editors:: Shu-Chuan Tseng, Yu Tsao, Hen-Hsen Huang, Yao-Chung Fan, Chia-Hui Chang
Venue:: ROCLING
SIG:
Publisher:: The Association for Computational Linguistics and Chinese Language Processing (ACLCLP)
Note:
Pages:: 151–159
Language:
URL:: https://aclanthology.org/2024.rocling-1.19/
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Bibkey:
Cite (ACL):: Jing-Yun Lin, Xu-Qing Li, and Sheng-Luen Chung. 2024. Applying Generative Language Models to Generate Synthetic Medical Records: ChaVinci. In Proceedings of the 36th Conference on Computational Linguistics and Speech Processing (ROCLING 2024), pages 151–159, Taipei City, Taiwan. The Association for Computational Linguistics and Chinese Language Processing (ACLCLP).
Cite (Informal):: Applying Generative Language Models to Generate Synthetic Medical Records: ChaVinci (Lin et al., ROCLING 2024)
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PDF:: https://aclanthology.org/2024.rocling-1.19.pdf

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@inproceedings{lin-etal-2024-applying,
    title = "Applying Generative Language Models to Generate Synthetic Medical Records: {C}ha{V}inci",
    author = "Lin, Jing-Yun  and
      Li, Xu-Qing  and
      Chung, Sheng-Luen",
    editor = "Tseng, Shu-Chuan  and
      Tsao, Yu  and
      Huang, Hen-Hsen  and
      Fan, Yao-Chung  and
      Chang, Chia-Hui",
    booktitle = "Proceedings of the 36th Conference on Computational Linguistics and Speech Processing (ROCLING 2024)",
    month = nov,
    year = "2024",
    address = "Taipei City, Taiwan",
    publisher = "The Association for Computational Linguistics and Chinese Language Processing (ACLCLP)",
    url = "https://aclanthology.org/2024.rocling-1.19/",
    pages = "151--159"
}

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%0 Conference Proceedings
%T Applying Generative Language Models to Generate Synthetic Medical Records: ChaVinci
%A Lin, Jing-Yun
%A Li, Xu-Qing
%A Chung, Sheng-Luen
%Y Tseng, Shu-Chuan
%Y Tsao, Yu
%Y Huang, Hen-Hsen
%Y Fan, Yao-Chung
%Y Chang, Chia-Hui
%S Proceedings of the 36th Conference on Computational Linguistics and Speech Processing (ROCLING 2024)
%D 2024
%8 November
%I The Association for Computational Linguistics and Chinese Language Processing (ACLCLP)
%C Taipei City, Taiwan
%F lin-etal-2024-applying
%U https://aclanthology.org/2024.rocling-1.19/
%P 151-159

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Markdown (Informal)

[Applying Generative Language Models to Generate Synthetic Medical Records: ChaVinci](https://aclanthology.org/2024.rocling-1.19/) (Lin et al., ROCLING 2024)

Applying Generative Language Models to Generate Synthetic Medical Records: ChaVinci (Lin et al., ROCLING 2024)

ACL

Jing-Yun Lin, Xu-Qing Li, and Sheng-Luen Chung. 2024. Applying Generative Language Models to Generate Synthetic Medical Records: ChaVinci. In Proceedings of the 36th Conference on Computational Linguistics and Speech Processing (ROCLING 2024), pages 151–159, Taipei City, Taiwan. The Association for Computational Linguistics and Chinese Language Processing (ACLCLP).