OphNER: Named Entity Recognition for Ophthalmology Newspapers
Author:
Affiliation:
1. AISIA Research Lab
2. University of Science,Ho Chi Minh City,Vietnam
3. Moscow Aviation Institute,Russia
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10298834/10298844/10299424.pdf?arnumber=10299424
Reference28 articles.
1. Overview of the ROCLING 2022 shared task for Chinese healthcare named entity recognition;lee;Proceedings of the 34th Conference on Computational Linguistics and Speech Processing (ROCLING 2022),2022
2. Multiconer: a large-scale multilingual dataset for complex named entity recognition;malmasi;ArXiv Preprint,2022
3. BioRED: a rich biomedical relation extraction dataset
4. BERN2: an advanced neural biomedical named entity recognition and normalization tool
5. A dataset of german legal documents for named entity recognition;leitner;ArXiv Preprint,2020
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