Reducing the user labeling effort in effective high recall tasks by fine-tuning active learning-Reference-Cited by-同舟云学术

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Reducing the user labeling effort in effective high recall tasks by fine-tuning active learning

Published:2023-01-19 Issue:2 Volume:61 Page:453-472
ISSN:0925-9902
Container-title:Journal of Intelligent Information Systems
language:en
Short-container-title:J Intell Inf Syst

Author:

Bianco Guilherme Dal,Duarte Denio,Gonçalves Marcos André

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture,Information Systems,Software

Link

https://link.springer.com/content/pdf/10.1007/s10844-022-00772-y.pdf

Reference39 articles.

1. Cohen, A.M., Hersh, W.R., Peterson, K., & et al. (2006). Reducing workload in systematic review preparation using automated citation classification. Journal of the American Medical Informatics Association, 13(2), 206–219. https://doi.org/10.1197/jamia.M1929.

2. Cormack, G.V., & Grossman, M.R. (2014). Evaluation of machine-learning protocols for technology-assisted review in electronic discovery. In Proceedings of the 37th international ACM SIGIR conference on research development in information retrieval. SIGIR ’14 (pp. 153–162). New York, ACM. https://doi.org/10.1145/2600428.2609601.

3. Cormack, G.V., & Grossman, M.R. (2016a). Scalability of continuous active learning for reliable high-recall text classification. In Proceedings of the 25th ACM international on conference on information and knowledge management. CIKM ’16 (pp. 1039–1048). New York, Association for Computing Machinery. https://doi.org/10.1145/2983323.2983776.

4. Cormack, G.V., & Grossman, M.R. (2016b). Engineering quality and reliability in technology-assisted review. In Proceedings of the 39th international ACM SIGIR conference on research and development in information retrieval. SIGIR ’16 (pp. 75–84). https://doi.org/10.1145/2911451.2911510.

5. Dal Bianco, G., Galante, R., Goncalves, M.A., & et al. (2015). A practical and effective sampling selection strategy for large scale deduplication. IEEE Transactions on Knowledge and Data Engineering, 27(9), 2305–2319. https://doi.org/10.1109/ICDE.2016.7498403.

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