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Overview of CENTRE@CLEF 2019: Sequel in the Systematic Reproducibility Realm

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Experimental IR Meets Multilinguality, Multimodality, and Interaction (CLEF 2019)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11696))

Abstract

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 second attempt to propose a lab on reproducibility named CENTRE, held during CLEF 2019. The aim of CENTRE is to run both a replicability and 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 second edition of CENTRE@CLEF 2019.

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Notes

  1. 1.

    https://www.acm.org/publications/policies/artifact-review-badging.

  2. 2.

    https://catalog.ldc.upenn.edu/LDC2012T21.

  3. 3.

    https://bitbucket.org/centre_eval/c2019_irc/src/master/.

References

  1. Allan, J., et al.: Research frontiers in information retrieval – report from the third strategic workshop on information retrieval in Lorne (SWIRL 2018). In: SIGIR Forum, vol. 52, no. 1, June 2018

    Google Scholar 

  2. Allan, J., Harman, D.K., Kanoulas, E., Li, D., Van Gysel, C., Voorhees, E.M.: TREC 2017 common core track overview. In: Voorhees and Ellis [28]

    Google Scholar 

  3. Allan, J., Harman, D.K., Kanoulas, E., Li, D., Van Gysel, C., Voorhees, E.M.: TREC 2018 common core track overview. In: Voorhees and Ellis [29]

    Google Scholar 

  4. Arguello, J., Crane, M., Diaz, F., Lin, J., Trotman, A.: Report on the SIGIR 2015 workshop on reproducibility, inexplicability, and generalizability of results (RIGOR). In: SIGIR Forum, vol. 49, no. 2, pp. 107–116 (2015)

    Article  Google Scholar 

  5. Armstrong, T.G., Moffat, A., Webber, W., Zobel, J.: Has adhoc retrieval improved since 1994? In: Allan, J., Aslam, J.A., Sanderson, M., Zhai, C., Zobel, J. (eds.) Proceedings of 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2009), pp. 692–693. ACM Press, New York (2009)

    Google Scholar 

  6. Armstrong, T.G., Moffat, A., Webber, W., Zobel, J.: Improvements that don’t add up: ad-hoc retrieval results since 1998. In: Cheung, D.W.L., Song, I.Y., Chu, W.W., Hu, X., Lin, J.J. (eds.) Proceedings of 18th International Conference on Information and Knowledge Management (CIKM 2009), pp. 601–610. ACM Press, New York (2009)

    Google Scholar 

  7. Benham, R., et al.: RMIT at the 2018 TREC CORE Track. In: Voorhees and Ellis [29]

    Google Scholar 

  8. Breuer, T., Schaer, P.: Replicability and reproducibility of automatic routing runs. In: Cappellato et al. [9]

    Google Scholar 

  9. Cappellato, L., Ferro, N., Losada, D., Müller, H. (eds.): CLEF 2019 Working Notes, CEUR Workshop Proceedings. CEUR-WS.org (2019)

    Google Scholar 

  10. Cappellato, L., Ferro, N., Nie, J.Y., Soulier, L. (eds.): CLEF 2018 Working Notes, CEUR Workshop Proceedings. CEUR-WS.org, ISSN 1613–0073 (2018)

    Google Scholar 

  11. Clancy, R., Ferro, N., Hauff, C., Lin, J., Sakai, T., Wu, Z.Z.: The SIGIR 2019 open-source IR replicability challenge (OSIRRC 2019). In: Chevalier, M., Gaussier, É., Piwowarski, B., Maarek, Y., Nie, J.Y., Scholer, F. (eds.) Proceedings of 42nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2019) (2019)

    Google Scholar 

  12. Ferro, N., et al.: The Dagstuhl perspectives workshop on performance modeling and prediction. In: SIGIR Forum, vol. 52, no. 1, June 2018

    Article  Google Scholar 

  13. Ferro, N., Fuhr, N., Järvelin, K., Kando, N., Lippold, M., Zobel, J.: Increasing reproducibility in IR: findings from the Dagstuhl seminar on “reproducibility of data-oriented experiments in e-science”. In: SIGIR Forum, vol. 50, no. 1, pp. 68–82 (2016)

    Article  Google Scholar 

  14. Ferro, N., Fuhr, N., Maistro, M., Sakai, T., Soboroff, I.: CENTRE@CLEF2019: overview of the replicability and reproducibility tasks. In: Cappellato et al. [9]

    Google Scholar 

  15. Ferro, N., Kelly, D.: SIGIR initiative to implement ACM artifact review and badging. In: SIGIR Forum, vol. 52, no. 1, June 2018

    Article  Google Scholar 

  16. Ferro, N., Maistro, M., Sakai, T., Soboroff, I.: CENTRE@CLEF2018: overview of the replicability task. In: Cappellato et al. [10]

    Google Scholar 

  17. Ferro, N., Maistro, M., Sakai, T., Soboroff, I.: Overview of CENTRE@CLEF 2018: a first tale in the systematic reproducibility realm. In: Bellot, P., et al. (eds.) CLEF 2018. LNCS, vol. 11018, pp. 239–246. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-98932-7_23

    Chapter  Google Scholar 

  18. Freire, J., Fuhr, N., Rauber, A. (eds.): Report from Dagstuhl Seminar 16041: Reproducibility of Data-Oriented Experiments in e-Science. Dagstuhl Reports, vol. 6, no. 1. Schloss Dagstuhl-Leibniz-Zentrum für Informatik, Germany (2016)

    Google Scholar 

  19. Fuhr, N.: Some common mistakes in IR evaluation, and how they can be avoided. In: SIGIR Forum vol. 51, no. 3, pp. 32–41 (2017)

    Article  Google Scholar 

  20. Grossman, M.R., Cormack, G.V.: MRG\(\_\)UWaterloo and WaterlooCormack participation in the TREC 2017 common core track. In: Voorhees and Ellis [28]

    Google Scholar 

  21. Jungwirth, M., Hanbury, A.: Replicating an experiment in cross-lingual information retrieval with explicit semantic analysis. In: Cappellato et al. [10]

    Google Scholar 

  22. Kendall, M.G.: Rank Correlation Methods. Griffin, Oxford (1948)

    MATH  Google Scholar 

  23. Kenney, J.F., Keeping, E.S.: Mathematics of Statistics - Part One, 3rd edn. D. Van Nostrand Company, Princeton (1954)

    MATH  Google Scholar 

  24. Kharazmi, S., Scholer, F., Vallet, D., Sanderson, M.: Examining additivity and weak baselines. ACM Trans. Inf. Syst. (TOIS) 34(4), 23:1–23:18 (2016)

    Article  Google Scholar 

  25. Lin, J., et al.: Toward reproducible baselines: the open-source IR reproducibility challenge. In: Ferro, N., et al. (eds.) ECIR 2016. LNCS, vol. 9626, pp. 408–420. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-30671-1_30

    Chapter  Google Scholar 

  26. Munafò, M.R., et al.: A manifesto for reproducible science. Nat. Hum. Behav. 1, 0021:1–0021:9 (2017)

    Article  Google Scholar 

  27. Sakai, T., Ferro, N., Soboroff, I., Zeng, Z., Xiao, P., Maistro, M.: Overview of the NTCIR-14 CENTRE task. In: Ishita, E., Kando, N., Kato, M.P., Liu, Y. (eds.) Proceedings of 14th NTCIR Conference on Evaluation of Information Access Technologies, pp. 494–509. National Institute of Informatics, Tokyo (2019)

    Google Scholar 

  28. Voorhees, E.M., Ellis, A. (eds.): The Twenty-Sixth Text REtrieval Conference Proceedings (TREC 2017). National Institute of Standards and Technology (NIST), Special Publication 500–324, Washington, USA (2018)

    Google Scholar 

  29. Voorhees, E.M., Ellis, A. (eds.): The Twenty-Seventh Text REtrieval Conference Proceedings (TREC 2018). National Institute of Standards and Technology (NIST), Washington, USA (2019)

    Google Scholar 

  30. Zobel, J., Webber, W., Sanderson, M., Moffat, A.: Principles for robust evaluation infrastructure. In: Agosti, M., Ferro, N., Thanos, C. (eds.) Proceedings of Workshop on Data infrastructurEs for Supporting Information Retrieval Evaluation (DESIRE 2011), pp. 3–6. ACM Press, New York (2011)

    Google Scholar 

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Correspondence to Nicola Ferro or Maria Maistro .

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Ferro, N., Fuhr, N., Maistro, M., Sakai, T., Soboroff, I. (2019). Overview of CENTRE@CLEF 2019: Sequel in the Systematic Reproducibility Realm. In: Crestani, F., et al. Experimental IR Meets Multilinguality, Multimodality, and Interaction. CLEF 2019. Lecture Notes in Computer Science(), vol 11696. Springer, Cham. https://doi.org/10.1007/978-3-030-28577-7_24

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  • DOI: https://doi.org/10.1007/978-3-030-28577-7_24

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