mmoradi-iut / NLP-perturbation
Text perturbation methods to evaluate the robustness of NLP models
☆21Updated 3 years ago
Alternatives and similar repositories for NLP-perturbation:
Users that are interested in NLP-perturbation are comparing it to the libraries listed below
- [ICML 2021] Towards Understanding and Mitigating Social Biases in Language Models☆60Updated 2 years ago
- OOD Generalization and Detection (ACL 2020)☆60Updated 4 years ago
- NILE : Natural Language Inference with Faithful Natural Language Explanations☆30Updated last year
- Adversarial Adaptation with Distillation for BERT Unsupervised Domain Adaptation☆34Updated 4 years ago
- A Diagnostic Study of Explainability Techniques for Text Classification☆66Updated 4 years ago
- Code for CAET5☆23Updated last year
- [ACL 2020] Towards Debiasing Sentence Representations☆64Updated 2 years ago
- Repository for ACL 2022 paper Mix and Match: Learning-free Controllable Text Generation using Energy Language Models☆41Updated 2 years ago
- Repository describing example random control tasks for designing and interpreting neural probes☆32Updated 2 years ago
- This repository contains the code for "Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLP".☆87Updated 3 years ago
- A unified approach to explain conditional text generation models. Pytorch. The code of paper "Local Explanation of Dialogue Response Gene…☆17Updated 2 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
- ☆61Updated 2 years ago
- This repository accompanies our paper “Do Prompt-Based Models Really Understand the Meaning of Their Prompts?”☆85Updated 2 years ago
- Code and datasets for the EMNLP 2020 paper "Calibration of Pre-trained Transformers"☆58Updated last year
- A2T: Towards Improving Adversarial Training of NLP Models (EMNLP 2021 Findings)☆26Updated 3 years ago
- ☆44Updated last year
- ☆58Updated 2 years ago
- Data and code for our paper "Exploring and Predicting Transferability across NLP Tasks", to appear at EMNLP 2020.☆49Updated 3 years ago
- ☆42Updated 4 years ago
- ☆64Updated 4 years ago
- A benchmark for understanding and evaluating rationales: http://www.eraserbenchmark.com/☆96Updated 2 years ago
- Meta-learning for NLP☆50Updated 4 years ago
- Implementation for https://arxiv.org/abs/2005.00652☆28Updated 2 years ago
- ☆15Updated 3 years ago
- E2E NLG Challenge Evaluation metrics☆92Updated 4 years ago
- ☆16Updated 2 years ago
- ☆18Updated 3 years ago
- ☆88Updated 2 years ago
- Code for the paper "Learning Variational Word Masks to Improve the Interpretability of Neural Text Classifiers"☆17Updated 4 years ago