Biomedical Named Entity Recognition with BiLSTM-EDA: A Deep Learning Approach
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-64836-6_38
Reference15 articles.
1. Grishman, R.; and Sundheim, B.: Message understanding conference6: a brief history. In: Proceedings of the 16th Conference on Computational Linguistics, vol. 1, Pennsylvania, USA, pp. 466–471 (1996)
2. Yoon, W., So, C., Lee, J., et al.: CollaboNet: collaboration of deep neural networks for biomedical named entity recognition. BMC Bioinform. 20(Suppl 10), 249 (2019)
3. Chiu, J.P.C., Nichols, E.: Named entity recognition with Bidirectional LSTM-CNNs. Trans. Assoc. Comput, Linguist. 4, 357–370 (2016)
4. Ramachandran, R., Arutchelvan, K.: Named entity recognition on bio-medical literature documents using hybrid-based approach. J Ambient Intell. Human. Comput. (2021)
5. Huang, H., Wang, H., Jin, D.: A low-cost named entity recognition research based on active learning. Sci. Program. Spec. Issue, 2018, Article ID 1890683 (2018)
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