Analyzing Code Embeddings for Coding Clinical Narratives

Anthology ID:: 2021.findings-acl.410
Volume:: Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
Month:: August
Year:: 2021
Address:: Online
Editors:: Chengqing Zong, Fei Xia, Wenjie Li, Roberto Navigli
Venue:: Findings
SIG:
Publisher:: Association for Computational Linguistics
Note:
Pages:: 4665–4672
Language:
URL:: https://preview.aclanthology.org/build-pipeline-with-new-library/2021.findings-acl.410/
DOI:: 10.18653/v1/2021.findings-acl.410
Bibkey:
Cite (ACL):: Wei Shi, Jiewen Wu, Xiwen Yang, Nancy Chen, Ivan Ho Mien, Jung-Jae Kim, and Pavitra Krishnaswamy. 2021. Analyzing Code Embeddings for Coding Clinical Narratives. In Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, pages 4665–4672, Online. Association for Computational Linguistics.
Cite (Informal):: Analyzing Code Embeddings for Coding Clinical Narratives (Shi et al., Findings 2021)
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PDF:: https://preview.aclanthology.org/build-pipeline-with-new-library/2021.findings-acl.410.pdf
Video:: https://preview.aclanthology.org/build-pipeline-with-new-library/2021.findings-acl.410.mp4
Data: MIMIC-III