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repro_eval: A Python Interface to Reproducibility Measures of System-oriented IR Experiments
January 19, 2022 Β· Declared Dead Β· π European Conference on Information Retrieval
"No code URL or promise found in abstract"
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Authors
Timo Breuer, Nicola Ferro, Maria Maistro, Philipp Schaer
arXiv ID
2201.07599
Category
cs.IR: Information Retrieval
Citations
15
Venue
European Conference on Information Retrieval
Last Checked
4 months ago
Abstract
In this work we introduce repro_eval - a tool for reactive reproducibility studies of system-oriented information retrieval (IR) experiments. The corresponding Python package provides IR researchers with measures for different levels of reproduction when evaluating their systems' outputs. By offering an easily extensible interface, we hope to stimulate common practices when conducting a reproducibility study of system-oriented IR experiments.
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