CENTRE@CLEF 2019
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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CENTRE@CLEF 2019. / Ferro, Nicola; Fuhr, Norbert; Maistro, Maria; Sakai, Tetsuya; Soboroff, Ian.
Advances in Information Retrieval: 41st European Conference on IR Research, ECIR 2019 Cologne, Germany, April 14–18, 2019 Proceedings. Vol. 2 Springer, 2019. p. 283-290 (Lecture Notes in Computer Science, Vol. 11438).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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TY - GEN
T1 - CENTRE@CLEF 2019
AU - Ferro, Nicola
AU - Fuhr, Norbert
AU - Maistro, Maria
AU - Sakai, Tetsuya
AU - Soboroff, Ian
PY - 2019
Y1 - 2019
N2 - Reproducibility of experimental results has recently become a primary issue in the scientific community at large, and in the information retrieval community as well, where initiatives and incentives to promote and ease reproducibility are arising. In this context, CENTRE is a joint CLEF/TREC/NTCIR lab which aims at raising the attention on this topic and involving the community in a shared reproducibility exercise. In particular, CENTRE focuses on three objectives, e.g. replicability, reproducibility and generalizability, and for each of them a dedicated task is designed. We expect that CENTRE may impact on the validation of some key achievement in IR, help in designing shared protocols for reproducibility, and improve the understanding on generalization across collections and on the additivity issue.
AB - Reproducibility of experimental results has recently become a primary issue in the scientific community at large, and in the information retrieval community as well, where initiatives and incentives to promote and ease reproducibility are arising. In this context, CENTRE is a joint CLEF/TREC/NTCIR lab which aims at raising the attention on this topic and involving the community in a shared reproducibility exercise. In particular, CENTRE focuses on three objectives, e.g. replicability, reproducibility and generalizability, and for each of them a dedicated task is designed. We expect that CENTRE may impact on the validation of some key achievement in IR, help in designing shared protocols for reproducibility, and improve the understanding on generalization across collections and on the additivity issue.
U2 - 10.1007/978-3-030-15719-7
DO - 10.1007/978-3-030-15719-7
M3 - Article in proceedings
SN - 978-3-030-15718-0
VL - 2
T3 - Lecture Notes in Computer Science
SP - 283
EP - 290
BT - Advances in Information Retrieval
PB - Springer
Y2 - 14 April 2019 through 18 April 2019
ER -
ID: 239618898