WikiBio: a Semantic Resource for the Intersectional Analysis of Biographical Events

Marco Antonio Stranisci, Rossana Damiano, Enrico Mensa, Viviana Patti, Daniele Radicioni, Tommaso Caselli


Abstract
Biographical event detection is a relevant task that allows for the exploration and comparison of the ways in which people’s lives are told and represented. This may support several real-life 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 aligned with 5 existing corpora in order 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.
Anthology ID:
2023.acl-long.691
Volume:
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Month:
July
Year:
2023
Address:
Toronto, Canada
Editors:
Anna Rogers, Jordan Boyd-Graber, Naoaki Okazaki
Venue:
ACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
12370–12384
Language:
URL:
https://aclanthology.org/2023.acl-long.691
DOI:
10.18653/v1/2023.acl-long.691
Award:
 Outstanding Paper Award
Bibkey:
Cite (ACL):
Marco Antonio Stranisci, Rossana Damiano, Enrico Mensa, Viviana Patti, Daniele Radicioni, and Tommaso Caselli. 2023. WikiBio: a Semantic Resource for the Intersectional Analysis of Biographical Events. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 12370–12384, Toronto, Canada. Association for Computational Linguistics.
Cite (Informal):
WikiBio: a Semantic Resource for the Intersectional Analysis of Biographical Events (Stranisci et al., ACL 2023)
Copy Citation:
PDF:
https://preview.aclanthology.org/nschneid-patch-5/2023.acl-long.691.pdf
Video:
 https://preview.aclanthology.org/nschneid-patch-5/2023.acl-long.691.mp4