Wikibio: a Semantic Resource for the Intersectional Analysis of Biographical Events
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.
Code (1)
Tasks
Event DetectionSimilar Papers 제목 키워드 기반
Guidelines and a Corpus for Extracting Biographical Events
Despite biographies are widely spread within the Semantic Web, resources and approaches to automatically extract biographical events are limited. Such limitation reduces the amount of structured, machine-readable biograp…
Event ExtractionTime-aware Prompting for Text Generation
In this paper, we study the effects of incorporating timestamps, such as document creation dates, into generation systems. Two types of time-aware prompts are investigated: (1) textual prompts that encode document timest…
ArticlesData-to-Text GenerationText GenerationTrust in One Round: Confidence Estimation for Large Language Models via Structural Signals
Large language models (LLMs) are increasingly deployed in domains where errors carry high social, scientific, or safety costs. Yet standard confidence estimators, such as token likelihood, semantic similarity and multi-s…
Semantic SimilarityFact VerificationCausal Intersectionality and Dual Form of Gradient Descent for Multimodal Analysis: a Case Study on Hateful Memes
Amidst the rapid expansion of Machine Learning (ML) and Large Language Models (LLMs), understanding the semantics within their mechanisms is vital. Causal analyses define semantics, while gradient-based methods are essen…
Decision MakingFormIn-Context LearningConnecting people digitally - a semantic web based approach to linking heterogeneous data sets
In this paper we present a semantic enrichment approach for linking two distinct data sets: the {\"O}BL (Austrian Biographical Dictionary) and the DB{\"O} (Database of Bavarian Dialects in Austria). Although the data set…
Entity LinkingWord Sense Disambiguation