104 related articles for article (PubMed ID: 38956728)
1. 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]
2. 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]
3. 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]
4. 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]
5. Automatic knowledge extraction from Chinese electronic medical records and rheumatoid arthritis knowledge graph construction.
Liu F; Liu M; Li M; Xin Y; Gao D; Wu J; Zhu J
Quant Imaging Med Surg; 2023 Jun; 13(6):3873-3890. PubMed ID: 37284084
[TBL] [Abstract][Full Text] [Related]
6. Named Entity Recognition and Normalization Applied to Large-Scale Information Extraction from the Materials Science Literature.
Weston L; Tshitoyan V; Dagdelen J; Kononova O; Trewartha A; Persson KA; Ceder G; Jain A
J Chem Inf Model; 2019 Sep; 59(9):3692-3702. PubMed ID: 31361962
[TBL] [Abstract][Full Text] [Related]
7. A Fine-Tuned Bidirectional Encoder Representations From Transformers Model for Food Named-Entity Recognition: Algorithm Development and Validation.
Stojanov R; Popovski G; Cenikj G; Koroušić Seljak B; Eftimov T
J Med Internet Res; 2021 Aug; 23(8):e28229. PubMed ID: 34383671
[TBL] [Abstract][Full Text] [Related]
8. Information Extraction Network Based on Multi-Granularity Attention and Multi-Scale Self-Learning.
Sun W; Liu S; Liu Y; Kong L; Jian Z
Sensors (Basel); 2023 Apr; 23(9):. PubMed ID: 37177454
[TBL] [Abstract][Full Text] [Related]
9. Efficient Machine Reading Comprehension for Health Care Applications: Algorithm Development and Validation of a Context Extraction Approach.
Nguyen DA; Li M; Lambert G; Kowalczyk R; McDonald R; Vo QB
JMIR Form Res; 2024 Mar; 8():e52482. PubMed ID: 38526545
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. 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]
12. Chinese Clinical Named Entity Recognition From Electronic Medical Records Based on Multisemantic Features by Using Robustly Optimized Bidirectional Encoder Representation From Transformers Pretraining Approach Whole Word Masking and Convolutional Neural Networks: Model Development and Validation.
Wang W; Li X; Ren H; Gao D; Fang A
JMIR Med Inform; 2023 May; 11():e44597. PubMed ID: 37163343
[TBL] [Abstract][Full Text] [Related]
13. ADPG: Biomedical entity recognition based on Automatic Dependency Parsing Graph.
Yang Y; Lin H; Yang Z; Zhang Y; Zhao D; Huai S
J Biomed Inform; 2023 Apr; 140():104317. PubMed ID: 36804374
[TBL] [Abstract][Full Text] [Related]
14. Improving large language models for clinical named entity recognition via prompt engineering.
Hu Y; Chen Q; Du J; Peng X; Keloth VK; Zuo X; Zhou Y; Li Z; Jiang X; Lu Z; Roberts K; Xu H
J Am Med Inform Assoc; 2024 Jan; ():. PubMed ID: 38281112
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. OryzaGP: rice gene and protein dataset for named-entity recognition.
Larmande P; Do H; Wang Y
Genomics Inform; 2019 Jun; 17(2):e17. PubMed ID: 31307132
[TBL] [Abstract][Full Text] [Related]
17. Extraction of semantic biomedical relations from text using conditional random fields.
Bundschus M; Dejori M; Stetter M; Tresp V; Kriegel HP
BMC Bioinformatics; 2008 Apr; 9():207. PubMed ID: 18433469
[TBL] [Abstract][Full Text] [Related]
18. A BIGRU-Based Stacked Attention Network for Biomedical Named Entity Recognition with Chinese EMRs.
Chen JQ; Zhu ZC; Zhang F; Zeng K; Jiang HZ; Cheng ZN
Stud Health Technol Inform; 2023 Nov; 308():757-767. PubMed ID: 38007808
[TBL] [Abstract][Full Text] [Related]
19. A multitask bi-directional RNN model for named entity recognition on Chinese electronic medical records.
Chowdhury S; Dong X; Qian L; Li X; Guan Y; Yang J; Yu Q
BMC Bioinformatics; 2018 Dec; 19(Suppl 17):499. PubMed ID: 30591015
[TBL] [Abstract][Full Text] [Related]
20. FamPlex: a resource for entity recognition and relationship resolution of human protein families and complexes in biomedical text mining.
Bachman JA; Gyori BM; Sorger PK
BMC Bioinformatics; 2018 Jun; 19(1):248. PubMed ID: 29954318
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
