Overview of PAR-MEX at Iberlef 2022: Paraphrase Detection in Spanish Shared Task

Gemma Bel-Enguix, Gerardo Sierra, Helena Gómez-Adorno, Juan-Manuel Torres-Moreno, Jesus-German Ortiz-Barajas, Juan Vásquez


Paraphrase detection is an important unresolved task in natural language processing; especially in the Spanish language. In order to address this issue, and contribute to the creation of high-performance paraphrase detection automated systems, we propose a shared task called PAR-MEX. For this task, we created a corpus, in Spanish, with topics in the domain of Mexican gastronomy. Afterwards, the participants in this task submitted their classification results on our corpus. In this paper we explain the steps followed for the creation of the corpus, we summarize the results obtained by the various participants, and propose some conclusions regarding the paraphrase-detection task in Spanish.

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