Automated SLR with a Few Labeled Papers and a Fair Workload Metric-Reference-Cited by-同舟云学术

Automated SLR with a Few Labeled Papers and a Fair Workload Metric

Published:2023 Issue: Volume: Page:1-23
ISSN:1865-1348
Container-title:Lecture Notes in Business Information Processing
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Author:

Faria Allan Victor Almeida^ORCID,de Melo Maísa Kely^ORCID,de Oliveira Flávio Augusto R.^ORCID,Weigang Li^ORCID,Celestino Victor Rafael Rezende^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-43088-6_1

Reference33 articles.

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2. Beltagy, I., Cohan, A., Lo, K.: Scibert: pretrained contextualized embeddings for scientific text. CoRR abs/1903.10676 (2019). http://arxiv.org/abs/1903.10676

3. van den Bulk, L.M., Bouzembrak, Y., Gavai, A., Liu, N., van den Heuvel, L.J., Marvin, H.J.: Automatic classification of literature in systematic reviews on food safety using machine learning. Curr. Res. Food Sci. 5, 84–95 (2022). https://doi.org/10.1016/j.crfs.2021.12.010

4. Chen, T., Kornblith, S., Swersky, K., Norouzi, M., Hinton, G.E.: Big self-supervised models are strong semi-supervised learners. Adv. Neural Inf. Process. Syst. 33, 22243–22255 (2020). https://doi.org/10.48550/arXiv.2006.10029

5. Cohen, A.M., Hersh, W.R., Peterson, K., Yen, P.Y.: Reducing workload in systematic review preparation using automated citation classification. J. Am. Med. Inf. Assoc. 13(2), 206–219 (2006). https://doi.org/10.1197/jamia.M1929