Overview of MentalRiskES at IberLEF 2024: Early Detection of Mental Disorders Risk in Spanish

• Autores: Alba María Mármol Romero, Adrián Moreno Muñoz, Flor Miriam Plaza del Arco , M. Dolores Molina González, María Teresa Martín Valdivia , Luis Alfonso Ureña López , Arturo Montejo Ráez
• Localización: Procesamiento del lenguaje natural, ISSN 1135-5948, Nº. 73, 2024, págs. 435-448
• Idioma: inglés
• Títulos paralelos:
  • Resumen de la Tarea MentalRiskES en IberLEF 2024: Detección Precoz del Riesgo de Trastornos Mentales en Español
• Enlaces
  • Texto completo
• Resumen

  • This paper presents the MentalRiskES shared task organized at IberLEF 2024, as part of the 40th International Conference of the Spanish Society for Natural Language Processing. This task aims to promote the early detection of mental risk disorders in Spanish. We propose three detection tasks: Task 1 to detect risk for depression or anxiety, Task 2 to detect risk for depression or anxiety but determining contextual risk factors and Task 3 to identify whether a subject is at risk for suicidal ideation. Furthermore, we asked participants to submit measurements of carbon emissions for their systems, emphasizing the need for sustainable natural language processing practices. In this second edition, 28 teams registered, 12 submitted results, and 10 presented papers. Most teams experimented with Transformers, including features, data augmentation, and preprocessing techniques.

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