Alternatives and similar repositories for ExplanationRoles

Users that are interested in ExplanationRoles are comparing it to the libraries listed below

• shreydesai / calibration
  Code and datasets for the EMNLP 2020 paper "Calibration of Pre-trained Transformers"
  ☆61Updated 2 years ago
• allenai / label_rationale_association
  Code for EMNLP 2021 paper "Measuring Association Between Labels and Free-Text Rationales"
  ☆12Updated 2 years ago
• hsajjad / Interpretability-Tutorial-NAACL2021
  ☆24Updated 4 years ago
• amirfeder / CausaLM
  CausaLM: Causal Model Explanation Through Counterfactual Language Models
  ☆56Updated 5 years ago
• CoderPat / learning-scaffold
  This is the official implementation for the paper "Learning to Scaffold: Optimizing Model Explanations for Teaching"
  ☆19Updated 3 years ago
• allenai / mice
  ☆26Updated 3 years ago
• SawanKumar28 / nile
  NILE : Natural Language Inference with Faithful Natural Language Explanations
  ☆30Updated 2 years ago
• peterbhase / LAS-NL-Explanations
  Code for paper "Leakage-Adjusted Simulatability: Can Models Generate Non-Trivial Explanations of Their Behavior in Natural Language?"
  ☆22Updated 5 years ago
• acmi-lab / counterfactually-augmented-data
  Learning the Difference that Makes a Difference with Counterfactually-Augmented Data
  ☆170Updated 4 years ago
• yuchenlin / OpenCSR
  Code Repo for "Differentiable Open-Ended Commonsense Reasoning" (NAACL 2021)
  ☆32Updated 2 years ago
• nicola-decao / diffmask
  Pytorch implementation of DiffMask
  ☆58Updated 2 years ago
• Lingkai-Kong / Calibrated-BERT-Fine-Tuning
  Code for Paper: Calibrated Language Model Fine-Tuning for In- and Out-of-Distribution Data
  ☆36Updated 5 years ago
• camelop / NLP-Robustness
  OOD Generalization and Detection (ACL 2020)
  ☆60Updated 5 years ago
• bastings / interpretable_predictions
  Interpretable Neural Predictions with Differentiable Binary Variables
  ☆85Updated 4 years ago
• successar / FRESH
  ☆27Updated 2 years ago
• nng555 / ssmba
  ☆62Updated 3 years ago
• violet-zct / group-conditional-DRO
  Group-conditional DRO to alleviate spurious correlations
  ☆15Updated 4 years ago
• UVa-NLP / VMASK
  Code for the paper "Learning Variational Word Masks to Improve the Interpretability of Neural Text Classifiers"
  ☆17Updated 5 years ago
• bohanli / vae-pretraining-encoder
  PyTorch implementation of A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text (EMNLP 2019)
  ☆48Updated 5 years ago
• ruiqi-zhong / DescribeDistributionalDifferences
  Code for preprint: Summarizing Differences between Text Distributions with Natural Language
  ☆43Updated 2 years ago
• awasthiabhijeet / Learning-From-Rules
  Implementation of experiments in paper "Learning from Rules Generalizing Labeled Exemplars" to appear in ICLR2020 (https://openreview.net…
  ☆50Updated 2 years ago
• yzpang / gold-off-policy-text-gen-iclr21
  ☆50Updated 4 years ago
• gucci-j / light-transformer-emnlp2021
  EMNLP 2021 - Frustratingly Simple Pretraining Alternatives to Masked Language Modeling
  ☆34Updated 4 years ago
• awebson / prompt_semantics
  This repository accompanies our paper “Do Prompt-Based Models Really Understand the Meaning of Their Prompts?”
  ☆85Updated 3 years ago
• Wluper / Retrograph
  Common Sense or World Knowledge? Investigating Adapter-Based Knowledge Injection into Pretrained Transformers
  ☆20Updated 4 years ago
• qkaren / Counterfactual-StoryRW
  code and data for EMNLP-19 paper "Counterfactual Story Reasoning and Generation" https://arxiv.org/abs/1909.04076
  ☆101Updated 5 years ago
• qkaren / unsup_gen_for_cms_reasoning
  ☆49Updated 2 years ago
• keyonvafa / sequential-rationales
  Rationales for Sequential Predictions
  ☆40Updated 3 years ago
• technion-cs-nlp / bias-probing
  Debiasing Methods in Natural Language Understanding Make Bias More Accessible: Code and Data
  ☆14Updated 3 years ago
• peterbhase / InterpretableNLP-ACL2020
  Code for "Evaluating Explainable AI: Which Algorithmic Explanations Help Users Predict Model Behavior?"
  ☆45Updated last year