Smooth Operators for Effective Systematic Review Queries
Author:
Affiliation:
1. Leipzig University, Leipzig, Germany
2. Friedrich-Schiller-Universität, Jena, Germany
3. Leipzig University & ScaDS.AI, Leipzig, Germany
Funder
European Commission
Alexander von Humboldt Stiftung
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3539618.3591768
Reference61 articles.
1. Amal Alharbi , William Briggs , and Mark Stevenson . 2018 . 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. Amal Alharbi, William Briggs, and Mark Stevenson. 2018. 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.
2. Refining Boolean queries to identify relevant studies for systematic review updates
3. Supporting Systematic Reviews Using Text Mining
4. Fuzzy requests: An approach to weighted boolean searches
5. A fuzzy linguistic approach generalizing Boolean Information Retrieval: A model and its evaluation
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