uvavision / Double-Hard-DebiasLinks
[ACL 2020] Double-Hard Debias: Tailoring Word Embeddings for Gender Bias Mitigation
☆27Updated 5 years ago
Alternatives and similar repositories for Double-Hard-Debias
Users that are interested in Double-Hard-Debias are comparing it to the libraries listed below
Sorting:
- [ACL 2020] Towards Debiasing Sentence Representations☆66Updated 2 years ago
- A Diagnostic Study of Explainability Techniques for Text Classification☆68Updated 4 years ago
- Perspectrum: a dataset of claims, perspectives and evidence documents☆34Updated 5 years ago
- ☆90Updated 3 years ago
- Code and test data for "On Measuring Bias in Sentence Encoders", to appear at NAACL 2019.☆56Updated 4 years ago
- ☆27Updated 2 years ago
- ☆40Updated 6 years ago
- ☆63Updated 5 years ago
- ☆16Updated 6 years ago
- To analyze and remove gender bias in coreference resolution systems☆79Updated 5 months ago
- NAACL 2019 (Oral): Code for "Black is to Criminal as Caucasian is to Police: Detecting and Removing Multiclass Bias in Word Embeddings"☆41Updated 6 years ago
- ☆97Updated 3 years ago
- [ICML 2021] Towards Understanding and Mitigating Social Biases in Language Models☆61Updated 2 years ago
- A benchmark for understanding and evaluating rationales: http://www.eraserbenchmark.com/☆99Updated 2 years ago
- Data and code repository of " Multilingual Fairness Evaluation for Hate Speech Detection ". LREC 2020.☆19Updated 2 years ago
- Symmetric evaluation set based on the FEVER (fact verification) dataset☆52Updated 4 years ago
- Learning the Difference that Makes a Difference with Counterfactually-Augmented Data☆170Updated 4 years ago
- Code for "Dynamic Contextualized Word Embeddings"☆32Updated 3 years ago
- How Contextual are Contextualized Word Representations?☆41Updated 5 years ago
- Learning Gender-Neutral Word Embeddings☆47Updated 6 years ago
- Code for the paper "Causal Mediation Analysis for Interpreting Neural NLP: The Case of Gender Bias"☆82Updated 4 years ago
- Dataset + classifier tools to study social perception biases in natural language generation☆70Updated 2 years ago
- Source code for "Towards Hierarchical Importance Attribution: Explaining Compositional Semantics for Neural Sequence Models", ICLR 2020.☆30Updated 5 years ago
- Baseline for ERASER benchmark☆17Updated 2 years ago
- ☆39Updated 4 years ago
- Materials for the EMNLP 2020 Tutorial on "Interpreting Predictions of NLP Models"☆200Updated 4 years ago
- ☆68Updated 3 years ago
- ☆26Updated 2 years ago
- ☆24Updated 4 years ago
- ☆31Updated 2 years ago