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The Istella22 Dataset: Bridging Traditional and Neural Learning to Rank Evaluation.

, , , , and . SIGIR, page 3099-3107. ACM, (2022)

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Evaluating the Explainability of Neural Rankers., , and . ECIR (4), volume 14611 of Lecture Notes in Computer Science, page 369-383. Springer, (2024)An Inspection of the Reproducibility and Replicability of TCT-ColBERT., , , and . SIGIR, page 2790-2800. ACM, (2022)On the Effects of Regional Spelling Conventions in Retrieval Models., , and . SIGIR, page 2220-2224. ACM, (2023)Simplified Data Wrangling with ir_datasets., , , , , and . SIGIR, page 2429-2436. ACM, (2021)The Information Retrieval Experiment Platform., , , , , , , and . LWDA, volume 3630 of CEUR Workshop Proceedings, page 175-178. CEUR-WS.org, (2023)Content-Based Weak Supervision for Ad-Hoc Re-Ranking., , , and . SIGIR, page 993-996. ACM, (2019)Top-Down Partitioning for Efficient List-Wise Ranking., , and . CoRR, (2024)Resources for Combining Teaching and Research in Information Retrieval Coursework., , , , , , , , , and . SIGIR, page 1115-1125. ACM, (2024)On the Evaluation of Machine-Generated Reports., , , , , , , , , and 3 other author(s). SIGIR, page 1904-1915. ACM, (2024)Ranking Significant Discrepancies in Clinical Reports., , , and . ECIR (2), volume 12036 of Lecture Notes in Computer Science, page 238-245. Springer, (2020)