216 related articles for article (PubMed ID: 33965638)
1. Biomedical named entity recognition using BERT in the machine reading comprehension framework.
Sun C; Yang Z; Wang L; Zhang Y; Lin H; Wang J
J Biomed Inform; 2021 Jun; 118():103799. PubMed ID: 33965638
[TBL] [Abstract][Full Text] [Related]
2. BioByGANS: biomedical named entity recognition by fusing contextual and syntactic features through graph attention network in node classification framework.
Zheng X; Du H; Luo X; Tong F; Song W; Zhao D
BMC Bioinformatics; 2022 Nov; 23(1):501. PubMed ID: 36418937
[TBL] [Abstract][Full Text] [Related]
3. DTranNER: biomedical named entity recognition with deep learning-based label-label transition model.
Hong SK; Lee JG
BMC Bioinformatics; 2020 Feb; 21(1):53. PubMed ID: 32046638
[TBL] [Abstract][Full Text] [Related]
4. A prefix and attention map discrimination fusion guided attention for biomedical named entity recognition.
Guan Z; Zhou X
BMC Bioinformatics; 2023 Feb; 24(1):42. PubMed ID: 36755230
[TBL] [Abstract][Full Text] [Related]
5. Application of machine reading comprehension techniques for named entity recognition in materials science.
Huang Z; He L; Yang Y; Li A; Zhang Z; Wu S; Wang Y; He Y; Liu X
J Cheminform; 2024 Jul; 16(1):76. PubMed ID: 38956728
[TBL] [Abstract][Full Text] [Related]
6. Dictionary-based matching graph network for biomedical named entity recognition.
Lou Y; Zhu X; Tan K
Sci Rep; 2023 Dec; 13(1):21667. PubMed ID: 38066007
[TBL] [Abstract][Full Text] [Related]
7. Improving biomedical named entity recognition with syntactic information.
Tian Y; Shen W; Song Y; Xia F; He M; Li K
BMC Bioinformatics; 2020 Nov; 21(1):539. PubMed ID: 33238875
[TBL] [Abstract][Full Text] [Related]
8. Hierarchical shared transfer learning for biomedical named entity recognition.
Chai Z; Jin H; Shi S; Zhan S; Zhuo L; Yang Y
BMC Bioinformatics; 2022 Jan; 23(1):8. PubMed ID: 34983362
[TBL] [Abstract][Full Text] [Related]
9. Biomedical named entity recognition with the combined feature attention and fully-shared multi-task learning.
Zhang Z; Chen ALP
BMC Bioinformatics; 2022 Nov; 23(1):458. PubMed ID: 36329384
[TBL] [Abstract][Full Text] [Related]
10. Exploring the effects of drug, disease, and protein dependencies on biomedical named entity recognition: A comparative analysis.
Han P; Li X; Wang X; Wang S; Gao C; Chen W
Front Pharmacol; 2022; 13():1020759. PubMed ID: 36618912
[No Abstract] [Full Text] [Related]
11. SBLC: a hybrid model for disease named entity recognition based on semantic bidirectional LSTMs and conditional random fields.
Xu K; Zhou Z; Gong T; Hao T; Liu W
BMC Med Inform Decis Mak; 2018 Dec; 18(Suppl 5):114. PubMed ID: 30526592
[TBL] [Abstract][Full Text] [Related]
12. BioBBC: a multi-feature model that enhances the detection of biomedical entities.
Alamro H; Gojobori T; Essack M; Gao X
Sci Rep; 2024 Apr; 14(1):7697. PubMed ID: 38565624
[TBL] [Abstract][Full Text] [Related]
13. Chinese EMR Named Entity Recognition Using Fused Label Relations Based on Machine Reading Comprehension Framework.
Duan J; Liu S; Liao X; Gong F; Yue H; Wang J
IEEE/ACM Trans Comput Biol Bioinform; 2024 Mar; PP():. PubMed ID: 38470595
[TBL] [Abstract][Full Text] [Related]
14. Improving deep learning method for biomedical named entity recognition by using entity definition information.
Xiong Y; Chen S; Tang B; Chen Q; Wang X; Yan J; Zhou Y
BMC Bioinformatics; 2021 Dec; 22(Suppl 1):600. PubMed ID: 34920699
[TBL] [Abstract][Full Text] [Related]
15. Knowledge Adaptive Multi-Way Matching Network for Biomedical Named Entity Recognition via Machine Reading Comprehension.
Chen P; Wang J; Lin H; Zhang Y; Yang Z
IEEE/ACM Trans Comput Biol Bioinform; 2023; 20(3):2101-2111. PubMed ID: 37018273
[TBL] [Abstract][Full Text] [Related]
16. D3NER: biomedical named entity recognition using CRF-biLSTM improved with fine-tuned embeddings of various linguistic information.
Dang TH; Le HQ; Nguyen TM; Vu ST
Bioinformatics; 2018 Oct; 34(20):3539-3546. PubMed ID: 29718118
[TBL] [Abstract][Full Text] [Related]
17. MRC4BioER: Joint extraction of biomedical entities and relations in the machine reading comprehension framework.
Sun C; Yang Z; Wang L; Zhang Y; Lin H; Wang J
J Biomed Inform; 2022 Jan; 125():103956. PubMed ID: 34848329
[TBL] [Abstract][Full Text] [Related]
18. Biomedical named entity recognition using deep neural networks with contextual information.
Cho H; Lee H
BMC Bioinformatics; 2019 Dec; 20(1):735. PubMed ID: 31881938
[TBL] [Abstract][Full Text] [Related]
19. Analyzing transfer learning impact in biomedical cross-lingual named entity recognition and normalization.
Rivera-Zavala RM; MartÃnez P
BMC Bioinformatics; 2021 Dec; 22(Suppl 1):601. PubMed ID: 34920703
[TBL] [Abstract][Full Text] [Related]
20. CollaboNet: collaboration of deep neural networks for biomedical named entity recognition.
Yoon W; So CH; Lee J; Kang J
BMC Bioinformatics; 2019 May; 20(Suppl 10):249. PubMed ID: 31138109
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
