Centre@clef 2019

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

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 languageEnglish
Title of host publicationAdvances in Information Retrieval - 41st European Conference on IR Research, ECIR 2019, Proceedings
EditorsBenno Stein, Philipp Mayr, Leif Azzopardi, Norbert Fuhr, Claudia Hauff, Djoerd Hiemstra
PublisherSpringer-Verlag
Pages283-290
Number of pages8
ISBN (Print)9783030157180
DOIs
Publication statusPublished - 2019 Jan 1
Event41st European Conference on Information Retrieval, ECIR 2019 - Cologne, Germany
Duration: 2019 Apr 142019 Apr 18

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11438 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference41st European Conference on Information Retrieval, ECIR 2019
CountryGermany
CityCologne
Period19/4/1419/4/18

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ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Ferro, N., Fuhr, N., Maistro, M., Sakai, T., & Soboroff, I. (2019). Centre@clef 2019. In B. Stein, P. Mayr, L. Azzopardi, N. Fuhr, C. Hauff, & D. Hiemstra (Eds.), Advances in Information Retrieval - 41st European Conference on IR Research, ECIR 2019, Proceedings (pp. 283-290). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11438 LNCS). Springer-Verlag. https://doi.org/10.1007/978-3-030-15719-7_38