In this study, we manually annotated those stories with labels in the dimensions of location, time, and harassers' characteristics, and marked the key elements related to these dimensions.
when training with key element extractions, it put almost all attention on the harasser "young man" (S2), which helped the model make correct prediction of "young harasser".