Skip to main content
SpringerLink
Log in

CLEF 2024 JOKER Lab: Automatic Humour Analysis

  • Conference paper
  • First Online:
Advances in Information Retrieval (ECIR 2024)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14613))

Included in the following conference series:

Abstract

The JOKER Lab at the Conference and Labs of the Evaluation Forum (CLEF) aims to foster research on automated processing of verbal humour, including tasks such as retrieval, classification, interpretation, generation, and translation. Despite the heady success of large language models, humour and wordplay automatic processing are far from being a solved problem. JOKER brings together experts from the social and computational sciences and encourages them to collaborate on shared tasks with quality-controlled annotated datasets. In 2024, we will offer entirely new shared tasks on humour-aware information retrieval, as well as fine-grained sentiment analysis and classification of humour for conversational agents. As in the past JOKER Labs, we will also make our data available for an unshared task that solicits novel use cases. In this paper, we provide a brief retrospective on the JOKER Labs, with a focus on the results and lessons learnt from last year’s iteration, and we preview the tasks to be held at JOKER 2024.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 99.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 129.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    https://www.joker-project.com/.

  2. 2.

    In a shared task, the organisers establish the criteria for assessing an unresolved artificial intelligence issue and create a dataset that has been annotated by humans for training and testing. Participants in the challenge then use the publicly available training data to create solutions for addressing the problem. Subsequently, the organisers assess these solutions using a private, undisclosed test dataset. In an unshared task, the organisers offer annotated data without specifying a specific problem to solve. Participants are encouraged to leverage this data to propose and address new, unique problems of their choosing.

  3. 3.

    The classification proposed in the related past work [18] was intended to classify playful requests to the Amazon Alexa virtual assistant.

References

  1. Abu Farha, I., Oprea, S.V., Wilson, S., Magdy, W.: SemEval-2022 Task 6: iSarcasmEval, intended sarcasm detection in English and Arabic. In: Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022), pp. 802–814. Association for Computational Linguistics, July 2022. https://doi.org/10.18653/v1/2022.semeval-1.111

  2. Bogireddy, N.R., Suresh, S., Rai, S.: I’m out of breath from laughing! I think? A dataset of COVID-19 humor and its toxic variants. In: Companion Proceedings of the ACM Web Conference 2023, pp. 1004–1013. Association for Computing Machinery, New York, NY (2023). https://doi.org/10.1145/3543873.3587591

  3. Chulvi, B., Rosso, P., Labadie Tamayo, R.: Everybody hurts, sometimes: overview of HUrtful HUmour at IberLEF 2023: Detection of humour spreading prejudice in Twitter. Procesamiento del lenguaje natural (71), 383–395 (2023). https://dialnet.unirioja.es/servlet/articulo?codigo=9093263

  4. Ekman, P.: Emotions Revealed: Recognizing Faces and Feelings to Improve Communication and Emotional Life. Henry Holt and Company, March 2004

    Google Scholar 

  5. Ermakova, L., Bosser, A.G., Jatowt, A., Miller, T.: The JOKER Corpus: English-French parallel data for multilingual wordplay recognition. In: SIGIR ’23: Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 2796–2806. Association for Computing Machinery, New York, NY (2023). https://doi.org/10.1145/3539618.3591885

  6. Ermakova, L., Miller, T., Bosser, A.G., Palma Preciado, V.M., Sidorov, G., Jatowt, A.: Overview of JOKER 2023 Automatic Wordplay Analysis Task 1 - pun detection. In: Aliannejadi, M., Faggioli, G., Ferro, N., Vlachos, M. (eds.) Working Notes of CLEF 2023 - Conference and Labs of the Evaluation Forum. CEUR Workshop Proceedings, vol. 3497, pp. 1785–1803 (Oct 2023)

    Google Scholar 

  7. Ermakova, L., Miller, T., Bosser, A.G., Palma Preciado, V.M., Sidorov, G., Jatowt, A.: Overview of JOKER 2023 Automatic Wordplay Analysis Task 2 - pun location and interpretation. In: Aliannejadi, M., Faggioli, G., Ferro, N., Vlachos, M. (eds.) Working Notes of CLEF 2023 - Conference and Labs of the Evaluation Forum. CEUR Workshop Proceedings, vol. 3497, pp. 1804–1817 (Oct 2023)

    Google Scholar 

  8. Ermakova, L., Miller, T., Bosser, A.G., Palma Preciado, V.M., Sidorov, G., Jatowt, A.: Overview of JOKER 2023 Automatic Wordplay Analysis Task 3 - pun translation. In: Aliannejadi, M., Faggioli, G., Ferro, N., Vlachos, M. (eds.) Working Notes of CLEF 2023 - Conference and Labs of the Evaluation Forum. CEUR Workshop Proceedings, vol. 3497, pp. 1818–1827 (Oct 2023)

    Google Scholar 

  9. Ermakova, L., Miller, T., Bosser, A.G., Palma Preciado, V.M., Sidorov, G., Jatowt, A.: Overview of JOKER - CLEF-2023 track on automatic wordplay analysis. In: Arampatzis, A., et al. (eds.) Experimental IR Meets Multilinguality, Multimodality, and Interaction, vol. 14163, pp. 397–415. Springer Nature Switzerland, Cham (2023). https://doi.org/10.1007/978-3-031-42448-9_26

  10. Ermakova, L., Miller, T., Bosser, A.G., Palma Preciado, V.M., Sidorov, G., Jatowt, A.: Science for fun: the CLEF 2023 JOKER track on automatic wordplay analysis. In: Kamps, J., et al. (eds.) Advances in Information Retrieval: 45th European Conference on Information Retrieval, ECIR 2023, Dublin, Ireland, April 2–6, Proceedings, Part III. Lecture Notes in Computer Science, vol. 13982, pp. 546–556. Springer, Heidelberg (Apr 2023). https://doi.org/10.1007/978-3-031-28241-6_63

  11. Ermakova, L., Miller, T., Puchalski, O., Regattin, F., Mathurin, É., Araújo, S., Bosser, A.-G., Borg, C., Bokiniec, M., Corre, G.L., Jeanjean, B., Hannachi, R., Mallia, Ġ, Matas, G., Saki, M.: CLEF Workshop JOKER: Automatic Wordplay and Humour Translation. In: Hagen, M., Verberne, S., Macdonald, C., Seifert, C., Balog, K., Nørvåg, K., Setty, V. (eds.) ECIR 2022. LNCS, vol. 13186, pp. 355–363. Springer, Cham (2022). https://doi.org/10.1007/978-3-030-99739-7_45

    Chapter  Google Scholar 

  12. Ermakova, L., et al.: Overview of JOKER@CLEF 2022: automatic wordplay and humour translation workshop. In: Barrón-Cedeño, A., et al. (eds.) Experimental IR Meets Multilinguality, Multimodality, and Interaction. Proceedings of the Thirteenth International Conference of the CLEF Association (CLEF 2022). LNCS, vol. 13390, pp. 447–469 (2022). https://doi.org/10.1007/978-3-031-13643-6_27

  13. Frenda, S., Pedrani, A., Basile, V., Lo, S.M., Cignarella, A.T., Panizzon, R., Marco, C., Scarlini, B., Patti, V., Bosco, C., Bernardi, D.: EPIC: multi-perspective annotation of a corpus of irony. In: Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics, vol. 1, pp. 13844–13857. Association for Computational Linguistics, July 2023. https://doi.org/10.18653/v1/2023.acl-long.774

  14. Liang, P.P., Wu, C., Morency, L.P., Salakhutdinov, R.: Towards understanding and mitigating social biases in language models. In: Meila, M., Zhang, T. (eds.) Proceedings of the 38th International Conference on Machine Learning. Proceedings of Machine Learning Research, vol. 139, pp. 6565–6576. PMLR, July 2021. https://proceedings.mlr.press/v139/liang21a.html

  15. Morreall, J.: Humor, philosophy and education. Educ. Philos. Theory 46(2), 120–131 (2014). https://doi.org/10.1080/00131857.2012.721735

    Article  Google Scholar 

  16. Morreall, J.: Philosophy of humor. In: Zalta, E.N., Nodelman, U. (eds.) The Stanford Encyclopedia of Philosophy. Metaphysics Research Lab, Stanford University, summer 2023 edn. (2023). https://plato.stanford.edu/archives/sum2023/entries/humor/

  17. Shani, C., Libov, A., Tolmach, S., Lewin-Eytan, L., Maarek, Y., Shahaf, D.: “Alexa, what do you do for fun?” Characterizing playful requests with virtual assistants, May 2021. http://arxiv.org/abs/2105.05571. arXiv:2105.05571 [cs]

  18. Shani, C., Libov, A., Tolmach, S., Lewin-Eytan, L., Maarek, Y., Shahaf, D.: “Alexa, do you want to build a snowman?” Characterizing playful requests to conversational agents. In: CHI Conference on Human Factors in Computing Systems Extended Abstracts, pp. 1–7. ACM, New Orleans, LA, April 2022. https://doi.org/10.1145/3491101.3519870

  19. Shapira, N., Kalinsky, O., Libov, A., Shani, C., Tolmach, S.: Evaluating humorous response generation to playful shopping requests. In: Kamps, J., Goeuriot, L., Crestani, F., Maistro, M., Joho, H., Davis, B., Gurrin, C., Kruschwitz, U., Caputo, A. (eds.) Advances in Information Retrieval, vol. 13981, pp. 617–626. Springer, Cham (2023). https://doi.org/10.1007/978-3-031-28238-6_53

  20. Winters, T.: Computers learning humor is no joke. Harvard Data Science Review 3(2), April 2021. https://doi.org/10.1162/99608f92.f13a2337

  21. Ziser, Y., Kravi, E., Carmel, D.: Humor detection in product question answering systems. In: Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 519–528. ACM, July 2020. https://doi.org/10.1145/3397271.3401077

Download references

Acknowledgments

This project has received a government grant managed by the National Research Agency under the program “Investissements d’avenir” integrated into France 2030, with the Reference ANR-19-GURE-0001. JOKER is supported by La Maison des sciences de l’homme en Bretagne. This Lab would not have been possible without the great support of numerous individuals; we would like to thank in particular the students of the Université de Bretagne Occidentale for their contribution to data construction.

Author information

Authors and Affiliations

  1. Université de Bretagne Occidentale, HCTI, Brest, France

    Liana Ermakova, Tremaine Thomas & Victor Manuel Palma Preciado

  2. École Nationale d’Ingénieurs de Brest, Lab-STICC CNRS UMR 6285, Brest, France

    Anne-Gwenn Bosser

  3. Department of Computer Science, University of Manitoba, Winnipeg, Canada

    Tristan Miller

  4. Austrian Research Institute for Artificial Intelligence (OFAI), Vienna, Austria

    Tristan Miller

  5. Instituto Politécnico Nacional (IPN), Centro de Investigación en Computación (CIC), Mexico City, Mexico

    Victor Manuel Palma Preciado & Grigori Sidorov

  6. University of Innsbruck, Innsbruck, Austria

    Adam Jatowt

Authors
  1. Liana Ermakova
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Anne-Gwenn Bosser
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Tristan Miller
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Tremaine Thomas
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Victor Manuel Palma Preciado
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Grigori Sidorov
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Adam Jatowt
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Tristan Miller .

Editor information

Editors and Affiliations

  1. Georgetown University, Washington, WA, USA

    Nazli Goharian

  2. University of Pisa, PISA, Pisa, Italy

    Nicola Tonellotto

  3. King's College London, London, UK

    Yulan He

  4. University College London, London, UK

    Aldo Lipani

  5. University of Glasgow, Glasgow, UK

    Graham McDonald

  6. University of Glasgow, Glasgow, UK

    Craig Macdonald

  7. University of Glasgow, Glasgow, UK

    Iadh Ounis

Rights and permissions

Reprints and permissions

Copyright information

© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Ermakova, L. et al. (2024). CLEF 2024 JOKER Lab: Automatic Humour Analysis. In: Goharian, N., et al. Advances in Information Retrieval. ECIR 2024. Lecture Notes in Computer Science, vol 14613. Springer, Cham. https://doi.org/10.1007/978-3-031-56072-9_5

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-56072-9_5

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-56071-2

  • Online ISBN: 978-3-031-56072-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation