CLIP: A Dataset for Extracting Action Items for Physicians from Hospital Discharge Notes
| Main Authors: | , , , , , , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
Association for Computational Linguistics
2022
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| Online Access: | https://hdl.handle.net/1721.1/143892 |
| _version_ | 1826214969018941440 |
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| author | Mullenbach, James Pruksachatkun, Yada Adler, Sean Seale, Jennifer Swartz, Jordan McKelvey, Greg Dai, Hui Yang, Yi Sontag, David |
| author2 | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science |
| author_facet | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Mullenbach, James Pruksachatkun, Yada Adler, Sean Seale, Jennifer Swartz, Jordan McKelvey, Greg Dai, Hui Yang, Yi Sontag, David |
| author_sort | Mullenbach, James |
| collection | MIT |
| first_indexed | 2024-09-23T16:14:30Z |
| format | Article |
| id | mit-1721.1/143892 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T16:14:30Z |
| publishDate | 2022 |
| publisher | Association for Computational Linguistics |
| record_format | dspace |
| spelling | mit-1721.1/1438922024-03-19T14:19:39Z CLIP: A Dataset for Extracting Action Items for Physicians from Hospital Discharge Notes Mullenbach, James Pruksachatkun, Yada Adler, Sean Seale, Jennifer Swartz, Jordan McKelvey, Greg Dai, Hui Yang, Yi Sontag, David 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 2022-07-20T16:20:42Z 2022-07-20T16:20:42Z 2021 2022-07-20T16:16:53Z Article http://purl.org/eprint/type/ConferencePaper https://hdl.handle.net/1721.1/143892 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). en 10.18653/V1/2021.ACL-LONG.109 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) 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. application/pdf Association for Computational Linguistics Proceedings of Machine Learning Research |
| spellingShingle | Mullenbach, James Pruksachatkun, Yada Adler, Sean Seale, Jennifer Swartz, Jordan McKelvey, Greg Dai, Hui Yang, Yi Sontag, David CLIP: A Dataset for Extracting Action Items for Physicians from Hospital Discharge Notes |
| title | CLIP: A Dataset for Extracting Action Items for Physicians from Hospital Discharge Notes |
| title_full | CLIP: A Dataset for Extracting Action Items for Physicians from Hospital Discharge Notes |
| title_fullStr | CLIP: A Dataset for Extracting Action Items for Physicians from Hospital Discharge Notes |
| title_full_unstemmed | CLIP: A Dataset for Extracting Action Items for Physicians from Hospital Discharge Notes |
| title_short | CLIP: A Dataset for Extracting Action Items for Physicians from Hospital Discharge Notes |
| title_sort | clip a dataset for extracting action items for physicians from hospital discharge notes |
| url | https://hdl.handle.net/1721.1/143892 |
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