136 related articles for article (PubMed ID: 38641084)
1. Language model based on deep learning network for biomedical named entity recognition.
Hou G; Jian Y; Zhao Q; Quan X; Zhang H
Methods; 2024 Jun; 226():71-77. PubMed ID: 38641084
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. 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]
4. Deep learning methods for biomedical named entity recognition: a survey and qualitative comparison.
Song B; Li F; Liu Y; Zeng X
Brief Bioinform; 2021 Nov; 22(6):. PubMed ID: 34308472
[TBL] [Abstract][Full Text] [Related]
5. Multitask learning for biomedical named entity recognition with cross-sharing structure.
Wang X; Lyu J; Dong L; Xu K
BMC Bioinformatics; 2019 Aug; 20(1):427. PubMed ID: 31419937
[TBL] [Abstract][Full Text] [Related]
6. Cross-type biomedical named entity recognition with deep multi-task learning.
Wang X; Zhang Y; Ren X; Zhang Y; Zitnik M; Shang J; Langlotz C; Han J
Bioinformatics; 2019 May; 35(10):1745-1752. PubMed ID: 30307536
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. An attention-based deep learning model for clinical named entity recognition of Chinese electronic medical records.
Li L; Zhao J; Hou L; Zhai Y; Shi J; Cui F
BMC Med Inform Decis Mak; 2019 Dec; 19(Suppl 5):235. PubMed ID: 31801540
[TBL] [Abstract][Full Text] [Related]
9. Active learning for ontological event extraction incorporating named entity recognition and unknown word handling.
Han X; Kim JJ; Kwoh CK
J Biomed Semantics; 2016; 7():22. PubMed ID: 27127603
[TBL] [Abstract][Full Text] [Related]
10. Deep learning-based methods for natural hazard named entity recognition.
Sun J; Liu Y; Cui J; He H
Sci Rep; 2022 Mar; 12(1):4598. PubMed ID: 35301387
[TBL] [Abstract][Full Text] [Related]
11. AIONER: all-in-one scheme-based biomedical named entity recognition using deep learning.
Luo L; Wei CH; Lai PT; Leaman R; Chen Q; Lu Z
Bioinformatics; 2023 May; 39(5):. PubMed ID: 37171899
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. 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]
14. 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]
15. An imConvNet-based deep learning model for Chinese medical named entity recognition.
Zheng Y; Han Z; Cai Y; Duan X; Sun J; Yang W; Huang H
BMC Med Inform Decis Mak; 2022 Nov; 22(1):303. PubMed ID: 36411432
[TBL] [Abstract][Full Text] [Related]
16. MMBERT: a unified framework for biomedical named entity recognition.
Fu L; Weng Z; Zhang J; Xie H; Cao Y
Med Biol Eng Comput; 2024 Jan; 62(1):327-341. PubMed ID: 37833517
[TBL] [Abstract][Full Text] [Related]
17. Clinical Named Entity Recognition from Chinese Electronic Medical Records Based on Deep Learning Pretraining.
Gong L; Zhang Z; Chen S
J Healthc Eng; 2020; 2020():8829219. PubMed ID: 33299537
[TBL] [Abstract][Full Text] [Related]
18. Noise Reduction Learning Based on XLNet-CRF for Biomedical Named Entity Recognition.
Chai Z; Jin H; Shi S; Zhan S; Zhuo L; Yang Y; Lian Q
IEEE/ACM Trans Comput Biol Bioinform; 2023; 20(1):595-605. PubMed ID: 35259113
[TBL] [Abstract][Full Text] [Related]
19. Deep learning joint models for extracting entities and relations in biomedical: a survey and comparison.
Su Y; Wang M; Wang P; Zheng C; Liu Y; Zeng X
Brief Bioinform; 2022 Nov; 23(6):. PubMed ID: 36125190
[TBL] [Abstract][Full Text] [Related]
20. Extracting clinical named entity for pituitary adenomas from Chinese electronic medical records.
Fang A; Hu J; Zhao W; Feng M; Fu J; Feng S; Lou P; Ren H; Chen X
BMC Med Inform Decis Mak; 2022 Mar; 22(1):72. PubMed ID: 35321705
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
