vaibkumr / RAN-DebiasLinks
Code for the TACL paper "Nurse is Closer to Woman than Surgeon? Mitigating Gender-Biased Proximities in Word Embeddings"
☆16Updated 4 years ago
Alternatives and similar repositories for RAN-Debias
Users that are interested in RAN-Debias are comparing it to the libraries listed below
Sorting:
- Code for EMNLP 2019 paper "Attention is not not Explanation"☆58Updated 4 years ago
- NILE : Natural Language Inference with Faithful Natural Language Explanations☆30Updated 2 years ago
- Implementation of experiments in paper "Learning from Rules Generalizing Labeled Exemplars" to appear in ICLR2020 (https://openreview.net…☆50Updated 2 years ago
- This is a repository with the code for the EMNLP 2020 paper "Information-Theoretic Probing with Minimum Description Length"☆71Updated 11 months ago
- Code for "Evaluating Explainable AI: Which Algorithmic Explanations Help Users Predict Model Behavior?"☆45Updated last year
- OOD Generalization and Detection (ACL 2020)☆60Updated 5 years ago
- ☆17Updated 5 years ago
- Tool for Evaluating Adversarial Perturbations on Text☆61Updated 3 years ago
- ☆27Updated 2 years ago
- Code for Paper: Calibrated Language Model Fine-Tuning for In- and Out-of-Distribution Data☆35Updated 4 years ago
- Code for paper "When Can Models Learn From Explanations? A Formal Framework for Understanding the Roles of Explanation Data"☆14Updated 4 years ago
- This is the official implementation for the paper "Learning to Scaffold: Optimizing Model Explanations for Teaching"☆19Updated 3 years ago
- Language Model Baselines for PyTorch☆42Updated 4 years ago
- [EMNLP 2020] "T3: Tree-Autoencoder Constrained Adversarial Text Generation for Targeted Attack" by Boxin Wang, Hengzhi Pei, Boyuan Pan, Q…☆26Updated 3 years ago
- Code and datasets for the EMNLP 2020 paper "Calibration of Pre-trained Transformers"☆61Updated 2 years ago
- PyTorch implementation of A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text (EMNLP 2019)☆48Updated 5 years ago
- code and data for EMNLP-19 paper "Counterfactual Story Reasoning and Generation" https://arxiv.org/abs/1909.04076☆101Updated 5 years ago
- Learning the Difference that Makes a Difference with Counterfactually-Augmented Data☆170Updated 4 years ago
- Text classification models. Used a submodule for other projects.☆68Updated 6 years ago
- Interpretable Neural Predictions with Differentiable Binary Variables☆84Updated 4 years ago
- Code for EMNLP 2021 paper "Measuring Association Between Labels and Free-Text Rationales"☆12Updated last year
- Code for EMNLP'21 paper "Types of Out-of-Distribution Texts and How to Detect Them"☆25Updated 3 years ago
- Code for "Semantically Equivalent Adversarial Rules for Debugging NLP Models"☆87Updated 6 years ago
- Checking the interpretability of attention on text classification models☆49Updated 5 years ago
- PyTorch code for meta seq2seq learning☆43Updated 5 years ago
- Source code for "Towards Hierarchical Importance Attribution: Explaining Compositional Semantics for Neural Sequence Models", ICLR 2020.☆30Updated 5 years ago
- Code Repo for "Differentiable Open-Ended Commonsense Reasoning" (NAACL 2021)☆32Updated 2 years ago
- ☆63Updated 5 years ago
- Data and code for our paper "Exploring and Predicting Transferability across NLP Tasks", to appear at EMNLP 2020.☆50Updated 4 years ago
- ☆64Updated 3 years ago