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DC Field | Value | Language |
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dc.contributor.author | Ermakova, Liana | - |
dc.contributor.author | Regattin, Fabio | - |
dc.contributor.author | Miller, Tristan | - |
dc.contributor.author | Bosser, Anne-Gwenn | - |
dc.contributor.author | Araújo, Sílvia | - |
dc.contributor.author | Borg, Claudine | - |
dc.contributor.author | Corre, Gaelle Le | - |
dc.contributor.author | Boccou, Julien | - |
dc.contributor.author | Digue, Albin | - |
dc.contributor.author | Damoy, Aurianne | - |
dc.contributor.author | Campen, Paul | - |
dc.contributor.author | Puchalski, Orlane | - |
dc.date.accessioned | 2022-12-23T06:19:04Z | - |
dc.date.available | 2022-12-23T06:19:04Z | - |
dc.date.issued | 2022 | - |
dc.identifier.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 | en_GB |
dc.identifier.issn | 16130073 | - |
dc.identifier.uri | https://www.um.edu.mt/library/oar/handle/123456789/104642 | - |
dc.description.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. | en_GB |
dc.language.iso | en | en_GB |
dc.publisher | Rheinisch-Westfaelische Technische Hochschule Aachen. Lehrstuhl Informatik V | en_GB |
dc.rights | info:eu-repo/semantics/openAccess | en_GB |
dc.subject | Computational linguistics | en_GB |
dc.subject | Puns and punning -- Translating | en_GB |
dc.subject | Classification | en_GB |
dc.subject | Plays on words | en_GB |
dc.subject | Deep learning (Machine learning) | en_GB |
dc.title | Overview of the CLEF 2022 JOKER Task 1 : Classify and Explain Instances of Wordplay | en_GB |
dc.title.alternative | Proceedings of the Working Notes of CLEF | en_GB |
dc.type | bookPart | en_GB |
dc.rights.holder | The copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder | en_GB |
dc.description.reviewed | peer-reviewed | en_GB |
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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