Alternatives and similar repositories for demog-text-removal

Users that are interested in demog-text-removal are comparing it to the libraries listed below

• pmichel31415 / teapot-nlp
  Tool for Evaluating Adversarial Perturbations on Text
  ☆61Updated 3 years ago
• xhan77 / influence-function-analysis
  ☆63Updated 5 years ago
• nesl / nlp_adversarial_examples
  Implementation code for the paper "Generating Natural Language Adversarial Examples"
  ☆170Updated 6 years ago
• acmi-lab / counterfactually-augmented-data
  Learning the Difference that Makes a Difference with Counterfactually-Augmented Data
  ☆170Updated 4 years ago
• lrank / Robust_and_Privacy_preserving_Text_Representations
  ☆18Updated 4 years ago
• yala / text_nn
  Text classification models. Used a submodule for other projects.
  ☆68Updated 6 years ago
• bastings / interpretable_predictions
  Interpretable Neural Predictions with Differentiable Binary Variables
  ☆85Updated 4 years ago
• miyyer / scpn
  syntactically controlled paraphrase networks
  ☆168Updated 6 years ago
• copenlu / xai-benchmark
  A Diagnostic Study of Explainability Techniques for Text Classification
  ☆68Updated 5 years ago
• Eric-Wallace / universal-triggers
  Universal Adversarial Triggers for Attacking and Analyzing NLP (EMNLP 2019)
  ☆297Updated last year
• robinjia / certified-word-sub
  Official repository for Jia, Raghunathan, Göksel, and Liang, "Certified Robustness to Adversarial Word Substitutions" (EMNLP 2019)
  ☆38Updated 5 years ago
• tommccoy1 / hans
  Heuristic Analysis for NLI Systems
  ☆127Updated 4 years ago
• camelop / NLP-Robustness
  OOD Generalization and Detection (ACL 2020)
  ☆60Updated 5 years ago
• successar / FRESH
  ☆27Updated 2 years ago
• peterbhase / InterpretableNLP-ACL2020
  Code for "Evaluating Explainable AI: Which Algorithmic Explanations Help Users Predict Model Behavior?"
  ☆45Updated last year
• BIU-NLP / Breaking_NLI
  NLI test set with lexical inferences
  ☆49Updated 7 years ago
• marcotcr / sears
  Code for "Semantically Equivalent Adversarial Rules for Debugging NLP Models"
  ☆87Updated 7 years ago
• jamie-murdoch / ContextualDecomposition
  Demo for method introduced in "Beyond Word Importance: Contextual Decomposition to Extract Interactions from LSTMs"
  ☆56Updated 5 years ago
• uclanlp / reducingbias
  ☆84Updated 4 years ago
• robinjia / adversarial-squad
  Code from Jia and Liang, "Adversarial Examples for Evaluating Reading Comprehension Systems" (EMNLP 2017)
  ☆118Updated 7 years ago
• shauli-ravfogel / nullspace_projection
  ☆90Updated 3 years ago
• bhargaviparanjape / explainable_qa
  Implementation for https://arxiv.org/abs/2005.00652
  ☆28Updated 2 years ago
• aonotas / interpretable-adv
  Code for Interpretable Adversarial Perturbation in Input Embedding Space for Text, IJCAI 2018.
  ☆42Updated 5 years ago
• lushleaf / Structure-free-certified-NLP
  SAFER: A Structure-free Approach For cErtified Robustness to Adversarial Word Substitutions (ACL 2020)
  ☆31Updated 4 years ago
• Lorraine333 / box_embeddings
  Experiments of ACL 2018 paper box embeddings
  ☆31Updated 6 years ago
• lena-voita / description-length-probing
  This is a repository with the code for the EMNLP 2020 paper "Information-Theoretic Probing with Minimum Description Length"
  ☆71Updated last year
• bohanli / vae-pretraining-encoder
  PyTorch implementation of A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text (EMNLP 2019)
  ☆48Updated 5 years ago
• Eric-Wallace / interpretability-tutorial-emnlp2020
  Materials for the EMNLP 2020 Tutorial on "Interpreting Predictions of NLP Models"
  ☆200Updated 4 years ago
• jayded / eraserbenchmark
  A benchmark for understanding and evaluating rationales: http://www.eraserbenchmark.com/
  ☆98Updated 2 years ago
• ysmiao / nvdm
  neural variational document model
  ☆131Updated 8 years ago