Seed-Driven Document Ranking for Systematic Reviews: A Reproducibility Study

Author:

Wang ShuaiORCID,Scells HarrisenORCID,Mourad AhmedORCID,Zuccon GuidoORCID

Publisher

Springer International Publishing

Reference27 articles.

1. Abualsaud, M., Ghelani, N., Zhang, H., Smucker, M.D., Cormack, G.V., Grossman, M.R.: A system for efficient high-recall retrieval. In: Proceedings of the 41st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 1317–1320 (2018)

2. Alharbi, A., Briggs, W., Stevenson, M.: Retrieving and ranking studies for systematic reviews: university of Sheffield’s approach to CLEF eHealth 2018 task 2. In: CEUR Workshop Proceedings: Working Notes of CLEF 2018: Conference and Labs of the Evaluation Forum, vol. 2125. CEUR Workshop Proceedings (2018)

3. Alharbi, A., Stevenson, M.: Ranking abstracts to identify relevant evidence for systematic reviews: the university of sheffield’s approach to CLEF eHealth 2017 task 2. In: CEUR Workshop Proceedings: Working Notes of CLEF 2017: Conference and Labs of the Evaluation Forum (2017)

4. Chandler, J., Cumpston, M., Li, T., Page, M.J., Welch, V.A.: Cochrane Handbook for Systematic Reviews of Interventions. Wiley, Hoboken (2019)

5. Chen, J., et al.: ECNU at 2017 eHealth task 2: technologically assisted reviews in empirical medicine. In: CEUR Workshop Proceedings: Working Notes of CLEF 2017: Conference and Labs of the Evaluation Forum (2017)

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