Jan Heinrich Reimer
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Sampling Bias Due to Near-Duplicates in Learning to Rank
M Fröbe, J Bevendorff, JH Reimer, M Potthast, M Hagen
Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020
Overview of Touché 2023: Argument and Causal Retrieval
A Bondarenko, M Fröbe, J Kiesel, F Schlatt, V Barriere, B Ravenet, ...
Advances in Information Retrieval: 45th European Conference on Information …, 2023
The Information Retrieval Experiment Platform
M Fröbe, JH Reimer, S MacAvaney, N Deckers, S Reich, J Bevendorff, ...
arXiv preprint arXiv:2305.18932, 2023
Axiomatic Retrieval Experimentation with ir_axioms
A Bondarenko, M Fröbe, JH Reimer, B Stein, M Völske, M Hagen
Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022
The Archive Query Log: Mining Millions of Search Result Pages of Hundreds of Search Engines from 25 Years of Web Archives
JH Reimer, S Schmidt, M Fröbe, L Gienapp, H Scells, B Stein, M Hagen, ...
arXiv preprint arXiv:2304.00413, 2023
Grimjack at Touché 2022: Axiomatic Re-ranking and Query Reformulation
JH Reimer, J Huck, A Bondarenko
Working Notes Papers of the CLEF, 2022
Webis at TREC 2022: Deep Learning and Health Misinformation
A Bondarenko, M Fröbe, L Gienapp, A Pugachev, JH Reimer, F Schlatt, ...
31st Text REtrieval Conference. TREC, 500-338, 2022
Modern talking in key point analysis: Key point matching using pretrained encoders
JH Reimer, TKH Luu, M Henze, Y Ajjour
Proceedings of the 8th Workshop on Argument Mining, 175-183, 2021
Stance-Aware Re-Ranking for Non-factual Comparative Queries
JH Reimer, A Bondarenko, M Fröbe, M Hagen
Identifying and Answering Health-Related Questions
JH Reimer
Axiomatic Re-Ranking for Argument Retrieval
A Bondarenko, M Fröbe, JH Reimer, M Hagen
Bias in Learning to Rank Caused by Redundant Web Documents Bachelor’s Thesis
JH Reimer
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