Hongyi Zheng, Yixin Zhu, Lavender Y. Jiang, KyungHyun Cho, Eric K. Oermann. Making the Most Out of the Limited Context Length: Predictive Power Varies with Clinical Note Type and Note Section. In Vishakh Padmakumar, Gisela Vallejo, Yao Fu, editors, Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, ACL 2023, Toronto, Canada, July 9-14, 2023. pages 104-108, Association for Computational Linguistics, 2023. [doi]
@inproceedings{ZhengZJCO23,
title = {Making the Most Out of the Limited Context Length: Predictive Power Varies with Clinical Note Type and Note Section},
author = {Hongyi Zheng and Yixin Zhu and Lavender Y. Jiang and KyungHyun Cho and Eric K. Oermann},
year = {2023},
url = {https://aclanthology.org/2023.acl-srw.18},
researchr = {https://researchr.org/publication/ZhengZJCO23},
cites = {0},
citedby = {0},
pages = {104-108},
booktitle = {Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, ACL 2023, Toronto, Canada, July 9-14, 2023},
editor = {Vishakh Padmakumar and Gisela Vallejo and Yao Fu},
publisher = {Association for Computational Linguistics},
isbn = {978-1-959429-69-2},
}