Many aspects of a woman's life can be the target of sexist attitudes, such as domestic and parental roles, career opportunities, sexual image, and life expectations, among others. Automatically detecting which of these facets are most frequently attacked on social media will help develop policies to combat sexism. In this task, each sexist tweet must be classified into one or more of the following categories: IDEOLOGICAL AND INEQUALITY, STEREOTYPING AND DOMINANCE, OBJECTIFICATION, SEXUAL VIOLENCE, MISOGYNY, AND NON-SEXUAL VIOLENCE. This task includes a hard-hard evaluation, where the labels predicted by the system are compared to the gold standard labels.
Task results
| System | ICM Sort ascending |
|---|---|
| ABCD Team_1 | 0.3713 |
| ABCD Team_3 | 0.3540 |
| NYCU-NLP_3 | 0.3069 |
| NYCU-NLP_1 | 0.2364 |
| NYCU-NLP_2 | 0.1725 |

