CLIP: A Dataset for Extracting Action Items for Physicians from Hospital Discharge Notes
Name
2021.acl-long.109.pdf
Description
Published version
Size
445.32 KB
Format
Adobe PDF
Checksum (MD5)
5c8ce7d46c8100f311be51bd2df7a0e6
Author(s)
Mullenbach, James
Pruksachatkun, Yada
Adler, Sean
Seale, Jennifer
Swartz, Jordan
McKelvey, Greg
Dai, Hui
Yang, Yi
Sontag, David
Date Issued
2021
Journal
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
Publisher
Association for Computational Linguistics
Citation
Mullenbach, James, Pruksachatkun, Yada, Adler, Sean, Seale, Jennifer, Swartz, Jordan et al. 2021. "CLIP: A Dataset for Extracting Action Items for Physicians from Hospital Discharge Notes." Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers).
Version
Final published version
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Massachusetts Institute of Technology. Institute for Medical Engineering & Science
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.18653/V1/2021.ACL-LONG.109
