NER-based removal of person and location entities from resumes preserves occupancy-prediction accuracy on FairCVdb, and combined with a debiasing module yields gender-balanced shortlists.
Journal of Artificial Intelligence Research71, 1137–1181 (2021)
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CL 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
PBa-LLM: Privacy- and Bias-aware NLP using Named-Entity Recognition (NER)
NER-based removal of person and location entities from resumes preserves occupancy-prediction accuracy on FairCVdb, and combined with a debiasing module yields gender-balanced shortlists.