| Resumen |
This paper presents the second edition of the international shared taskon multilingual hope speech detection, HOPE 2024, conducted as part of the Iber-LEF workshop during the SEPLN 2024 conference. This shared task encompassedtwo distinct subtasks: the detection of hope speech within Equality, Diversity, andInclusion texts and the identification of hope speech focusing on expectations intwo-level, binary, and multiclass classification settings. Nineteen teams participatedin the competition, and sixteen submitted their working notes. In the first subtask,the top-ranking team achieved an average Macro F1-score of 71.61. In the secondsubtask, leading teams demonstrated robust performance with F1 scores exceeding80.00 for binary classification and 78.00 for multiclass classification settings. |
