Co-Attentive Span Network with Multi-task learning for Biomedical Named Entity Recognition-Reference-Cited by-同舟云学术

Co-Attentive Span Network with Multi-task learning for Biomedical Named Entity Recognition

Published:2021-12-09 Issue: Volume: Page:
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Container-title:2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
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Author:

Chen Peng,Wang Jian,Lin Hongfei,Zhang Yijia,Yang Zhihao,Zhao Di,Ma Hui

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9669261/9669139/09669749.pdf?arnumber=9669749

Reference19 articles.

1. A neural network multi-task learning approach to biomedical named entity recognition

2. CollaboNet: collaboration of deep neural networks for biomedical named entity recognition

3. Effective use of bidirectional language modeling for transfer learning in biomedical named entity recognition;sachan;Proceedings of the Machine Learning for Healthcare Conference MLHC,2018

4. DTranNER: biomedical named entity recognition with deep learning-based label-label transition model

5. Medical Subject Headings Used to Search the Biomedical Literature

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3. BioNER-CFEM: Biomedical Named Entity Recognition Based on Character Feature Enhancement with Multimodal Method;2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM);2022-12-06

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