Co-occurring keywords · papers mentioning both
Papers
QCon at SemEval-2023 Task 10: Data Augmentation and Model Ensembling for Detection of Online Sexism
SemEval 2023
SINAI at SemEval-2023 Task 10: Leveraging Emotions, Sentiments, and Irony Knowledge for Explainable Detection of Online Sexism
SemEval 2023
SKAM at SemEval-2023 Task 10: Linguistic Feature Integration and Continuous Pretraining for Online Sexism Detection and Classification
SemEval 2023
SSS at SemEval-2023 Task 10: Explainable Detection of Online Sexism using Majority Voted Fine-Tuned Transformers
SemEval 2023
SUTNLP at SemEval-2023 Task 10: RLAT-Transformer for explainable online sexism detection
SemEval 2023
UIRISC at SemEval-2023 Task 10: Explainable Detection of Online Sexism by Ensembling Fine-tuning Language Models
SemEval 2023
UniBoe’s at SemEval-2023 Task 10: Model-Agnostic Strategies for the Improvement of Hate-Tuned and Generative Models in the Classification of Sexist Posts
SemEval 2023
Counterfactually Augmented Data and Unintended Bias: The Case of Sexism and Hate Speech Detection
NAACL 2022
Users Hate Blondes: Detecting Sexism in User Comments on Online Romanian News
NAACL 2022
“Be nice to your wife! The restaurants are closed”: Can Gender Stereotype Detection Improve Sexism Classification?
EMNLP 2021
“Hold on honey, men at work”: A semi-supervised approach to detecting sexism in sitcoms
ACL 2021
He said “who’s gonna take care of your children when you are at ACL?”: Reported Sexist Acts are Not Sexist
ACL 2020
Multi-label Categorization of Accounts of Sexism using a Neural Framework
EMNLP 2019