These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

112 related articles for article (PubMed ID: 37362570)

  • 1. EduNER: a Chinese named entity recognition dataset for education research.
    Li X; Wei C; Jiang Z; Meng W; Ouyang F; Zhang Z; Chen W
    Neural Comput Appl; 2023 May; ():1-15. PubMed ID: 37362570
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Research on Chinese medical named entity recognition based on collaborative cooperation of multiple neural network models.
    Ji B; Li S; Yu J; Ma J; Tang J; Wu Q; Tan Y; Liu H; Ji Y
    J Biomed Inform; 2020 Apr; 104():103395. PubMed ID: 32109551
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A neural network multi-task learning approach to biomedical named entity recognition.
    Crichton G; Pyysalo S; Chiu B; Korhonen A
    BMC Bioinformatics; 2017 Aug; 18(1):368. PubMed ID: 28810903
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Dataset-aware multi-task learning approaches for biomedical named entity recognition.
    Zuo M; Zhang Y
    Bioinformatics; 2020 Aug; 36(15):4331-4338. PubMed ID: 32415963
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Multi-task learning for Chinese clinical named entity recognition with external knowledge.
    Cheng M; Xiong S; Li F; Liang P; Gao J
    BMC Med Inform Decis Mak; 2021 Dec; 21(1):372. PubMed ID: 34972505
    [TBL] [Abstract][Full Text] [Related]  

  • 6. DeIDNER Corpus: Annotation of Clinical Discharge Summary Notes for Named Entity Recognition Using BRAT Tool.
    Syed M; Al-Shukri S; Syed S; Sexton K; Greer ML; Zozus M; Bhattacharyya S; Prior F
    Stud Health Technol Inform; 2021 May; 281():432-436. PubMed ID: 34042780
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. S-NER: A Concise and Efficient Span-Based Model for Named Entity Recognition.
    Yu J; Ji B; Li S; Ma J; Liu H; Xu H
    Sensors (Basel); 2022 Apr; 22(8):. PubMed ID: 35458837
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A study of active learning methods for named entity recognition in clinical text.
    Chen Y; Lasko TA; Mei Q; Denny JC; Xu H
    J Biomed Inform; 2015 Dec; 58():11-18. PubMed ID: 26385377
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Multiple Embeddings Enhanced Multi-Graph Neural Networks for Chinese Healthcare Named Entity Recognition.
    Lee LH; Lu Y
    IEEE J Biomed Health Inform; 2021 Jul; 25(7):2801-2810. PubMed ID: 33385314
    [TBL] [Abstract][Full Text] [Related]  

  • 11. OryzaGP 2021 update: a rice gene and protein dataset for named-entity recognition.
    Larmande P; Liu Y; Yao X; Xia J
    Genomics Inform; 2021 Sep; 19(3):e27. PubMed ID: 34638174
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. TEI-friendly annotation scheme for medieval named entities: a case on a Spanish medieval corpus.
    Álvarez-Mellado E; Díez-Platas ML; Ruiz-Fabo P; Bermúdez H; Ros S; González-Blanco E
    Lang Resour Eval; 2021; 55(2):525-549. PubMed ID: 34776810
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Combining Contextualized Embeddings and Prior Knowledge for Clinical Named Entity Recognition: Evaluation Study.
    Jiang M; Sanger T; Liu X
    JMIR Med Inform; 2019 Nov; 7(4):e14850. PubMed ID: 31719024
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A comprehensive study of named entity recognition in Chinese clinical text.
    Lei J; Tang B; Lu X; Gao K; Jiang M; Xu H
    J Am Med Inform Assoc; 2014; 21(5):808-14. PubMed ID: 24347408
    [TBL] [Abstract][Full Text] [Related]  

  • 16. GENETAG: a tagged corpus for gene/protein named entity recognition.
    Tanabe L; Xie N; Thom LH; Matten W; Wilbur WJ
    BMC Bioinformatics; 2005; 6 Suppl 1(Suppl 1):S3. PubMed ID: 15960837
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. GRAM-CNN: a deep learning approach with local context for named entity recognition in biomedical text.
    Zhu Q; Li X; Conesa A; Pereira C
    Bioinformatics; 2018 May; 34(9):1547-1554. PubMed ID: 29272325
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Labeled entities from social media data related to avian influenza disease.
    Schaeffer C; Interdonato R; Lancelot R; Roche M; Teisseire M
    Data Brief; 2022 Aug; 43():108317. PubMed ID: 35692611
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A BERT-Span model for Chinese named entity recognition in rehabilitation medicine.
    Zhong J; Xuan Z; Wang K; Cheng Z
    PeerJ Comput Sci; 2023; 9():e1535. PubMed ID: 37705622
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.