| Resumen |
This paper presents details of Task 1 of the JOKER-2023 Track, which aims to detect sentences in English, French, and Spanish that contain wordplay. With applications in humour generation, sentiment analysis, conversational agents, content filtering, and linguistic creativity, this task is still challenging despite significant recent progress in information retrieval and natural language processing. Building on the lessons learned from last year’s edition of the JOKER track, our overall goal is to foster progress in the automatic interpretation, generation, and translation of wordplay in English, Spanish, and French. In this paper, we define our task and describe our approaches to corpus creation and evaluation in the three languages. We then present an overview of the participating systems, including summaries of their approaches and a comparison of their performance. © 2023 Copyright for this paper by its authors. |
