Abstract
iSarcasmEval is the first shared task to target intended sarcasm detection: the data for this task was provided and labelled by the authors of the texts themselves. Such an approach minimises the downfalls of other methods to collect sarcasm data, which rely on distant supervision or third-party annotations. The shared task contains two languages, English and Arabic, and three subtasks: sarcasm detection, sarcasm category classification, and pairwise sarcasm identification given a sarcastic sentence and its non-sarcastic rephrase. The task received submissions from 60 different teams, with the sarcasm detection task being the most popular. Most of the participating teams utilised pre-trained language models. In this paper, we provide an overview of the task, data, and participating teams
Original language | English |
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Title of host publication | Proceedings of The 16th International Workshop on Semantic Evaluation 2022 |
Editors | Guy Emerson, Natalie Schluter, Gabriel Stanovsky, Ritesh Kumar, Alexis Palmer, Nathan Schneider, Siddharth Singh, Shyam Ratan |
Place of Publication | Stroudsburg, PA, USA |
Publisher | Association for Computational Linguistics |
Pages | 802-814 |
Number of pages | 13 |
ISBN (Electronic) | 978-1-955917-80-3 |
DOIs | |
Publication status | Published - 26 Jul 2022 |
Event | The 16th International Workshop on Semantic Evaluation 2022 - Duration: 14 Jul 2022 → 15 Jul 2022 Conference number: 16 https://semeval.github.io/SemEval2022/ |
Workshop
Workshop | The 16th International Workshop on Semantic Evaluation 2022 |
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Abbreviated title | SemEval 2022 |
Period | 14/07/22 → 15/07/22 |
Internet address |