Centre@clef 2019

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

研究成果: Conference contribution

抄録

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.

元の言語English
ホスト出版物のタイトルAdvances in Information Retrieval - 41st European Conference on IR Research, ECIR 2019, Proceedings
編集者Benno Stein, Philipp Mayr, Leif Azzopardi, Norbert Fuhr, Claudia Hauff, Djoerd Hiemstra
出版者Springer-Verlag
ページ283-290
ページ数8
ISBN(印刷物)9783030157180
DOI
出版物ステータスPublished - 2019 1 1
イベント41st European Conference on Information Retrieval, ECIR 2019 - Cologne, Germany
継続期間: 2019 4 142019 4 18

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
11438 LNCS
ISSN(印刷物)0302-9743
ISSN(電子版)1611-3349

Conference

Conference41st European Conference on Information Retrieval, ECIR 2019
Germany
Cologne
期間19/4/1419/4/18

Fingerprint

Reproducibility
Information retrieval
Additivity
Incentives
Information Retrieval
Exercise
Experimental Results
Community

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

これを引用

Ferro, N., Fuhr, N., Maistro, M., Sakai, T., & Soboroff, I. (2019). Centre@clef 2019. : B. Stein, P. Mayr, L. Azzopardi, N. Fuhr, C. Hauff, & D. Hiemstra (版), 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); 巻数 11438 LNCS). Springer-Verlag. https://doi.org/10.1007/978-3-030-15719-7_38

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, Proceedings. 版 / Benno Stein; Philipp Mayr; Leif Azzopardi; Norbert Fuhr; Claudia Hauff; Djoerd Hiemstra. Springer-Verlag, 2019. p. 283-290 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 巻 11438 LNCS).

研究成果: Conference contribution

Ferro, N, Fuhr, N, Maistro, M, Sakai, T & Soboroff, I 2019, Centre@clef 2019. : B Stein, P Mayr, L Azzopardi, N Fuhr, C Hauff & D Hiemstra (版), Advances in Information Retrieval - 41st European Conference on IR Research, ECIR 2019, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 巻. 11438 LNCS, Springer-Verlag, pp. 283-290, 41st European Conference on Information Retrieval, ECIR 2019, Cologne, Germany, 19/4/14. https://doi.org/10.1007/978-3-030-15719-7_38
Ferro N, Fuhr N, Maistro M, Sakai T, Soboroff I. Centre@clef 2019. : Stein B, Mayr P, Azzopardi L, Fuhr N, Hauff C, Hiemstra D, 編集者, Advances in Information Retrieval - 41st European Conference on IR Research, ECIR 2019, Proceedings. Springer-Verlag. 2019. p. 283-290. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-030-15719-7_38
Ferro, Nicola ; Fuhr, Norbert ; Maistro, Maria ; Sakai, Tetsuya ; Soboroff, Ian. / Centre@clef 2019. Advances in Information Retrieval - 41st European Conference on IR Research, ECIR 2019, Proceedings. 編集者 / Benno Stein ; Philipp Mayr ; Leif Azzopardi ; Norbert Fuhr ; Claudia Hauff ; Djoerd Hiemstra. Springer-Verlag, 2019. pp. 283-290 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
@inproceedings{2ee6e215445247a9a6e4e0d798420e4e,
title = "Centre@clef 2019",
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.",
author = "Nicola Ferro and Norbert Fuhr and Maria Maistro and Tetsuya Sakai and Ian Soboroff",
year = "2019",
month = "1",
day = "1",
doi = "10.1007/978-3-030-15719-7_38",
language = "English",
isbn = "9783030157180",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer-Verlag",
pages = "283--290",
editor = "Benno Stein and Philipp Mayr and Leif Azzopardi and Norbert Fuhr and Claudia Hauff and Djoerd Hiemstra",
booktitle = "Advances in Information Retrieval - 41st European Conference on IR Research, ECIR 2019, Proceedings",

}

TY - GEN

T1 - Centre@clef 2019

AU - Ferro, Nicola

AU - Fuhr, Norbert

AU - Maistro, Maria

AU - Sakai, Tetsuya

AU - Soboroff, Ian

PY - 2019/1/1

Y1 - 2019/1/1

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.

UR - http://www.scopus.com/inward/record.url?scp=85064870241&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85064870241&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-15719-7_38

DO - 10.1007/978-3-030-15719-7_38

M3 - Conference contribution

SN - 9783030157180

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 283

EP - 290

BT - Advances in Information Retrieval - 41st European Conference on IR Research, ECIR 2019, Proceedings

A2 - Stein, Benno

A2 - Mayr, Philipp

A2 - Azzopardi, Leif

A2 - Fuhr, Norbert

A2 - Hauff, Claudia

A2 - Hiemstra, Djoerd

PB - Springer-Verlag

ER -