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Title: | Overview of the CLEF 2022 JOKER Task 1 : Classify and Explain Instances of Wordplay |
Other Titles: | Proceedings of the Working Notes of CLEF |
Authors: | Ermakova, Liana Regattin, Fabio Miller, Tristan Bosser, Anne-Gwenn Araújo, Sílvia Borg, Claudine Corre, Gaelle Le Boccou, Julien Digue, Albin Damoy, Aurianne Campen, Paul Puchalski, Orlane |
Keywords: | Computational linguistics Puns and punning -- Translating Classification Plays on words Deep learning (Machine learning) |
Issue Date: | 2022 |
Publisher: | Rheinisch-Westfaelische Technische Hochschule Aachen. Lehrstuhl Informatik V |
Citation: | Ermakova, L., Regattin, F., Miller, T., Bosser, A. G., Araújo, S., Borg, C., ... & Puchalski, O. (2022). Overview of the CLEF 2022 JOKER Task 1: Classify and explain instances of wordplay. In. G. Faggioli, N. Ferro, A. Hanbury, M. Potthastet (Eds.), Proceedings of the Working Notes of CLEF (pp. 1641-1665). Aachen: Rheinisch-Westfaelische Technische Hochschule Aachen. Lehrstuhl Informatik V |
Abstract: | As a multidisciplinary field of study, humour remains one of the most difficult aspects of intercultural communication. Understanding humor often involves understanding implicit cultural references and/or double meanings, which raises the questions of how to detect and classify instances of this complex phenomenon. This paper provides an overview of Pilot Task 1 of the CLEF 2022 JOKER track, where participants had to classify and explain instances of wordplay. We introduce a new classification of wordplay and a new annotation scheme for wordplay interpretation suitable both for phrase-based wordplay and wordplay in named entities. We describe the collection of our data, our task setup, and the evaluation procedure, and we give a brief overview of the participating teams’ approaches and results. |
URI: | https://www.um.edu.mt/library/oar/handle/123456789/104642 |
ISSN: | 16130073 |
Appears in Collections: | Scholarly Works - FacArtTTI |
Files in This Item:
File | Description | Size | Format | |
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Overview_of_the_CLEF_2022_JOKER_Task_1.pdf | 397.4 kB | Adobe PDF | View/Open |
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