mebrunet / understanding-biasLinks
Code accompanying the paper "Understanding Bias in Word Embeddings"
☆22Updated 2 years ago
Alternatives and similar repositories for understanding-bias
Users that are interested in understanding-bias are comparing it to the libraries listed below
Sorting:
- ☆53Updated 5 years ago
- Software and data for "Using Text Embeddings for Causal Inference"☆126Updated 5 years ago
- Find text features that are most related to an outcome, controlling for confounds.☆60Updated last year
- Tensorflow 2 implementation of Causal-BERT☆72Updated 2 years ago
- The holdout randomization test: feature selection using black box predictive models☆22Updated 4 years ago
- This package supports implementation of anchor-based topic modeling and variants of the anchoring algorithm in Python 3.☆16Updated 7 years ago
- Skip-gram word embeddings in hyperbolic space☆34Updated 7 years ago
- Code and data for the experiments in "On Fairness and Calibration"☆51Updated 3 years ago
- ☆54Updated 3 years ago
- Package for computing causal effects of text (as treatment)☆72Updated 3 years ago
- Code for "On the Complexity of Opinions and Online Discussions", WSDM 2019☆12Updated 6 years ago
- ☆27Updated 2 years ago
- ☆105Updated 7 years ago
- Leaderboards are widely used in NLP and push the field forward. While leaderboards are a straightforward ranking of NLP models, this simp…☆18Updated 3 years ago
- ☆53Updated 7 years ago
- Code for NeurIPS 2019 paper "Hierarchical Optimal Transport for Document Representation"☆54Updated 5 years ago
- Learning the Difference that Makes a Difference with Counterfactually-Augmented Data☆169Updated 4 years ago
- Code for "Evaluating Explainable AI: Which Algorithmic Explanations Help Users Predict Model Behavior?"☆45Updated last year
- Harassment Lexicon and Corpus☆30Updated 7 years ago
- A framework to identify relations between ideas in temporal text corpora.☆28Updated 7 years ago
- PyTorch implementation of AVITM (Autoencoding Variational Inference For Topic Models)☆35Updated 3 years ago
- Learning Gender-Neutral Word Embeddings☆47Updated 6 years ago
- ☆13Updated 3 months ago
- Implementation of experiments in paper "Learning from Rules Generalizing Labeled Exemplars" to appear in ICLR2020 (https://openreview.net…☆50Updated 2 years ago
- Gromov-Wasserstein Alignment of Embeddings☆68Updated 4 years ago
- Code for Paper: Calibrated Language Model Fine-Tuning for In- and Out-of-Distribution Data☆36Updated 5 years ago
- ☆16Updated 2 years ago
- Tutorial on computational models of language change☆116Updated 6 years ago
- CausaLM: Causal Model Explanation Through Counterfactual Language Models☆56Updated 5 years ago
- Software and pre-processed data for "Using Embeddings to Correct for Unobserved Confounding in Networks"☆57Updated 2 years ago