Applying BioBERT to Extract Germline Gene-Disease Associations for Building a Knowledge Graph from the Biomedical Literature-Reference-Cited by-同舟云学术

Applying BioBERT to Extract Germline Gene-Disease Associations for Building a Knowledge Graph from the Biomedical Literature

Published:2023-05-10 Issue: Volume: Page:
ISSN:
Container-title:2023 the 7th International Conference on Information System and Data Mining (ICISDM)
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Author:

Diaz Gonzalez Armando D.¹^ORCID,Hughes Kevin S.²^ORCID,Yue Songhui¹^ORCID,Hayes Sean T.¹^ORCID

Affiliation:

1. Department of Computing Science, Charleston Southern University, United States

2. Department of Surgery, Medical University of South Carolina, United States

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3603765.3603771

Reference50 articles.

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2. J Abreu Vicente. 2022. drAbreu/bioBERT-NER-NCBI_disease. https://huggingface.co/drAbreu/bioBERT-NER-NCBI_disease J Abreu Vicente. 2022. drAbreu/bioBERT-NER-NCBI_disease. https://huggingface.co/drAbreu/bioBERT-NER-NCBI_disease

3. Mohammed Ali Al-Garadi , Yuan-Chi Yang , and Abeed Sarker . 2022. The Role of Natural Language Processing during the COVID-19 Pandemic: Health Applications, Opportunities, and Challenges. Healthcare 10, 11 ( 2022 ). https://doi.org/10.3390/healthcare10112270 10.3390/healthcare10112270 Mohammed Ali Al-Garadi, Yuan-Chi Yang, and Abeed Sarker. 2022. The Role of Natural Language Processing during the COVID-19 Pandemic: Health Applications, Opportunities, and Challenges. Healthcare 10, 11 (2022). https://doi.org/10.3390/healthcare10112270

4. Named Entity Extraction for Knowledge Graphs: A Literature Overview

5. Biomedical Named Entity Recognition: A Review

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