CENTRE@CLEF 2019

Nicola Ferro; Norbert Fuhr; Maria Maistro; Tetsuya Sakai; Ian Soboroff

doi:10.1007/978-3-030-15719-7

CENTRE@CLEF 2019

Nicola Ferro, Norbert Fuhr, Maria Maistro, Tetsuya Sakai, Ian Soboroff

Machine Learning

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Abstract

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.

Original language	English
Title of host publication	Advances in Information Retrieval : 41st European Conference on IR Research, ECIR 2019 Cologne, Germany, April 14–18, 2019 Proceedings
Volume	2
Publisher	Springer
Publication date	2019
Pages	283-290
ISBN (Print)	978-3-030-15718-0
ISBN (Electronic)	978-3-030-15719-7
DOIs	https://doi.org/10.1007/978-3-030-15719-7
Publication status	Published - 2019
Event	41st European Conference on IR Research, ECIR 2019 - Cologne, Germany Duration: 14 Apr 2019 → 18 Apr 2019

Conference

Conference	41st European Conference on IR Research, ECIR 2019
Country/Territory	Germany
City	Cologne
Period	14/04/2019 → 18/04/2019

Series	Lecture Notes in Computer Science
Volume	11438
ISSN	0302-9743

Access to Document

10.1007/978-3-030-15719-7

Cite this

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

Ferro, N, Fuhr, N, Maistro, M, Sakai, T & Soboroff, I 2019, CENTRE@CLEF 2019. in Advances in Information Retrieval: 41st European Conference on IR Research, ECIR 2019 Cologne, Germany, April 14–18, 2019 Proceedings. vol. 2, Springer, Lecture Notes in Computer Science, vol. 11438, pp. 283-290, 41st European Conference on IR Research, ECIR 2019, Cologne, Germany, 14/04/2019. https://doi.org/10.1007/978-3-030-15719-7

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AU - Sakai, Tetsuya

AU - Soboroff, Ian

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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.

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