Biographical event detection is a relevant task for the exploration and
comparison of the ways in which people's lives are told and represented. In
this sense, it may support several applications in digital humanities and in
works aimed at exploring bias about minoritized groups. Despite that, there are
no corpora and models specifically designed for this task. In this paper we
fill this gap by presenting a new corpus annotated for biographical event
detection. The corpus, which includes 20 Wikipedia biographies, was compared
with five existing corpora to train a model for the biographical event
detection task. The model was able to detect all mentions of the target-entity
in a biography with an F-score of 0.808 and the entity-related events with an
F-score of 0.859. Finally, the model was used for performing an analysis of
biases about women and non-Western people in Wikipedia biographies.

本文介绍了一个新的全新语料库并建立模型，能够对传记文本进行事件检测，研究偏见和歧视问题，验证其在数字人文中的应用。