Constructing Artificial Data for Fine-Tuning for Low-Resource Biomedical Text Tagging with Applications in PICO Annotation
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Both micro and macro scores were reported by Singh et al. (2021), Kilicoglu et al. (2021), Kiritchenko et al. (2010), Fiszman et al. (2007), and Zhang et al. (2024).
“Both micro and macro scores were reported by Singh et al. (2021), 45 Kilicoglu et al. (2021), 38 Kiritchenko et al. (2010), 46 Fiszman et al. (2007), 47 Zhang et al. (2024), 179 Karystianis et al. (2014, 2017) 48 , 49 reported micro across documents, and macro across the classes.”
From Data extraction methods for systematic review (semi)automation: a living systematic review (2021) · cites this paper as [45]
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BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Devlin, J., Chang, M.-W., Lee, K., & Toutanova, K. (2019) · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) · doi:10.18653/v1/n19-1423 · Cited by 48,293 · see citing works
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Data extraction methods for systematic review (semi)automation: a living systematic review
Schmidt, L., Olorisade, B. K., McGuinness, L. A., Thomas, J., & Higgins, J. P. T. (2021) · F1000Research · doi:10.12688/f1000research.51117.1 · Cited by 106 · see citing works
Self-citationA survey on clinical natural language processing in the United Kingdom from 2007 to 2022
Wu, H., Wang, M., Wu, J., Francis, F., Chang, Y.-H., Shavick, A., Dong, H., Poon, M. T. C., Fitzpatrick, N., Levine, A. P., et al. (2022) · npj Digital Medicine · doi:10.1038/s41746-022-00730-6 · Cited by 101 · see citing works
Data extraction methods for systematic review (semi)automation: Update of a living systematic review
Schmidt, L., Finnerty Mutlu, A. N., Elmore, R., Olorisade, B. K., Thomas, J., & Higgins, J. P. T. (2025) · F1000Research · doi:10.12688/f1000research.51117.3 · Cited by 27 · see citing works
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- Authors
- Singh, G., Sabet, Z., Shawe-Taylor, J., & Thomas, J.
- Affiliations
- University College London (GB)
- Corresponding author
- Singh, Gaurav
- Venue
- Studies in Computational Intelligence
- Publisher
- Springer International Publishing
- Published
- 2020-11-03
- Pages
- 131-145
- ISSN
- 1860-949X (ISSN-L)
- 1860-9503
- OpenAlex
- W2981278485
- Cited by
- 7
- References
- 1
- Citations by year
- 2025: 1 · 2023: 1 · 2022: 1 · 2021: 2 · 2020: 2
- FWCI
- 2.03
- Type
- book chapter
- Language
- en
- Open access
- closed
- Locations
- Studies in computational intelligence (publishedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Funders
- Medical Research Council (MR/J005037/1)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Biomedical Text Mining and Ontologies
- Physical Sciences › Computer Science › Artificial Intelligence › Topic Modeling
- Physical Sciences › Computer Science › Artificial Intelligence › Machine Learning in Healthcare
- Keywords
- low-resource learning, limited labeled data
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