Reproducibility has become increasingly important for many research areas, among those IR is not an exception and has started to be concerned with reproducibility and its impact on research results. This paper describes our first attempt to propose a lab on reproducibility named CENTRE and held during CLEF 2018. The aim of CENTRE is to run a reproducibility challenge across all the major IR evaluation campaigns and to provide the IR community with a venue where previous research results can be explored and discussed. This paper reports the participant results and preliminary considerations on the first edition of CENTRE@CLEF 2018, as well as some suggestions for future editions.
CITATION STYLE
Ferro, N., Maistro, M., Sakai, T., & Soboroff, I. (2018). Overview of CENTRE@CLEF 2018: A first tale in the systematic reproducibility realm. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11018 LNCS, pp. 239–246). Springer Verlag. https://doi.org/10.1007/978-3-319-98932-7_23
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