1. AMI @ EVALITA2020: Automatic misogyny identification
- Author
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Basile V.,Croce D.,Di Maro M.,Passaro L.C., Fersini, E, Nozza, D, Rosso, P, Fersini E., Nozza D., Rosso P., Basile V.,Croce D.,Di Maro M.,Passaro L.C., Fersini, E, Nozza, D, Rosso, P, Fersini E., Nozza D., and Rosso P.
- Abstract
Automatic Misogyny Identification (AMI) is a shared task proposed at the Evalita 2020 evaluation campaign. The AMI challenge, based on Italian tweets, is organized into two subtasks: (1) Subtask A about misogyny and aggressiveness identification and (2) Subtask B about the fairness of the model. At the end of the evaluation phase, we received a total of 20 runs for Subtask A and 11 runs for Subtask B, submitted by 8 teams. In this paper, we present an overview of the AMI shared task, the datasets, the evaluation methodology, the results obtained by the participants and a discussion about the methodology adopted by the teams. Finally, we draw some conclusions and discuss future work.
- Published
- 2020