TManzini / DebiasMulticlassWordEmbedding
NAACL 2019 (Oral): Code for "Black is to Criminal as Caucasian is to Police: Detecting and Removing Multiclass Bias in Word Embeddings"
☆38Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for DebiasMulticlassWordEmbedding
- ☆37Updated 5 years ago
- Code and test data for "On Measuring Bias in Sentence Encoders", to appear at NAACL 2019.☆54Updated 3 years ago
- Code for the paper "Measuring Bias in Contextualized Word Representations"☆35Updated 5 years ago
- [ACL 2020] Towards Debiasing Sentence Representations☆61Updated 2 years ago
- [ACL 2020] Double-Hard Debias: Tailoring Word Embeddings for Gender Bias Mitigation☆25Updated 4 years ago
- Use WEAT statistic to compare bias among word embeddings trained with different algorithms, from different sources, or after debiasing☆12Updated 5 years ago
- Learning Gender-Neutral Word Embeddings☆46Updated 5 years ago
- ☆38Updated last year
- Cross-lingual version of WEAT☆9Updated 5 years ago
- ☆19Updated 2 years ago
- Data set for LREC 2020 paper "I Feel Offended, Don't Be Abusive!"☆18Updated last year
- A benchmark for understanding and evaluating rationales: http://www.eraserbenchmark.com/☆97Updated 2 years ago
- ☆95Updated 2 years ago
- code for our EACL 2021 paper: "Challenges in Automated Debiasing for Toxic Language Detection" by Xuhui Zhou, Maarten Sap, Swabha Swayamd…☆19Updated 3 years ago
- ☆16Updated 5 years ago
- A Python package to compute HONEST, a score to measure hurtful sentence completions in language models. Published at NAACL 2021.☆20Updated last year
- Dataset + classifier tools to study social perception biases in natural language generation☆67Updated last year
- ☆25Updated 2 years ago
- To analyze and remove gender bias in coreference resolution systems☆75Updated 3 years ago
- ☆53Updated 2 years ago
- ☆87Updated 2 years ago
- Find text features that are most related to an outcome, controlling for confounds.☆60Updated 3 months ago
- Framework for controlling demographic biases in NLG (using adversarial prompts)☆20Updated last year
- [ICML 2021] Towards Understanding and Mitigating Social Biases in Language Models☆60Updated 2 years ago
- Röttger et al. (ACL 2021): "HateCheck: Functional Tests for Hate Speech Detection Models" - Data☆56Updated 2 years ago
- replication of Word Embedding Association Test(WEAT), which is suggested in Semantics derived automatically from language corpora necess…☆30Updated 6 years ago
- StereoSet: Measuring stereotypical bias in pretrained language models☆168Updated last year
- Official code release for ACL 2020 paper "Contextualizing Hate Speech Classifiers with Post hoc Explanation"☆33Updated 2 years ago
- Materials for the EMNLP 2020 Tutorial on "Interpreting Predictions of NLP Models"☆198Updated 3 years ago
- How Contextual are Contextualized Word Representations?☆39Updated 4 years ago