Alternatives and similar repositories for InterpretableNLP-ACL2020

Users that are interested in InterpretableNLP-ACL2020 are comparing it to the libraries listed below

• acmi-lab / counterfactually-augmented-data
  Learning the Difference that Makes a Difference with Counterfactually-Augmented Data
  ☆171Updated 4 years ago
• sarahwie / attention
  Code for EMNLP 2019 paper "Attention is not not Explanation"
  ☆58Updated 4 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
• successar / FRESH
  ☆27Updated 2 years ago
• pmichel31415 / teapot-nlp
  Tool for Evaluating Adversarial Perturbations on Text
  ☆61Updated 3 years ago
• jayded / eraserbenchmark
  A benchmark for understanding and evaluating rationales: http://www.eraserbenchmark.com/
  ☆101Updated 3 years ago
• marcotcr / sears
  Code for "Semantically Equivalent Adversarial Rules for Debugging NLP Models"
  ☆87Updated 7 years ago
• Eric-Wallace / interpretability-tutorial-emnlp2020
  Materials for the EMNLP 2020 Tutorial on "Interpreting Predictions of NLP Models"
  ☆200Updated 5 years ago
• vaibkumr / RAN-Debias
  Code for the TACL paper "Nurse is Closer to Woman than Surgeon? Mitigating Gender-Biased Proximities in Word Embeddings"
  ☆16Updated 5 years ago
• copenlu / xai-benchmark
  A Diagnostic Study of Explainability Techniques for Text Classification
  ☆69Updated 5 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
• i-machine-think / diagNNose
  diagNNose is a Python library that facilitates a broad set of tools for analysing hidden activations of neural models.
  ☆82Updated 2 years ago
• camelop / NLP-Robustness
  OOD Generalization and Detection (ACL 2020)
  ☆60Updated 5 years ago
• harsh19 / SPINE
  Code for SPINE - Sparse Interpretable Neural Embeddings. Jhamtani H.*, Pruthi D.*, Subramanian A.*, Berg-Kirkpatrick T., Hovy E. AAAI 20…
  ☆53Updated 6 years ago
• serrano-s / attn-tests
  Checking the interpretability of attention on text classification models
  ☆49Updated 6 years ago
• fdalvi / NeuroX-demo
  ☆66Updated 3 years ago
• danishpruthi / Adversarial-Misspellings
  ☆64Updated 3 years ago
• salesforce / morpheus
  Code for ACL'20 paper "It's Morphin' Time! Combating Linguistic Discrimination with Inflectional Perturbations"
  ☆19Updated 9 months ago
• facebookresearch / irt-leaderboard
  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
• bastings / interpretable_predictions
  Interpretable Neural Predictions with Differentiable Binary Variables
  ☆85Updated 4 years ago
• yanaiela / demog-text-removal
  ☆51Updated 7 years ago
• INK-USC / hierarchical-explanation-neural-sequence-models
  Source code for "Towards Hierarchical Importance Attribution: Explaining Compositional Semantics for Neural Sequence Models", ICLR 2020.
  ☆30Updated 5 years ago
• TimDettmers / transformer-xl
  ☆65Updated 5 years ago
• john-hewitt / control-tasks
  Repository describing example random control tasks for designing and interpreting neural probes
  ☆32Updated 3 years ago
• xhan77 / influence-function-analysis
  ☆64Updated 5 years ago
• yala / text_nn
  Text classification models. Used a submodule for other projects.
  ☆69Updated 6 years ago
• uclanlp / reducingbias
  ☆84Updated 4 years ago
• brendenlake / meta_seq2seq
  PyTorch code for meta seq2seq learning
  ☆43Updated 6 years ago
• ShilinHe / interpretableNLP
  A list of publications on NLP interpretability (Welcome PR)
  ☆168Updated 5 years ago
• Eric-Wallace / adversarial-mt
  Code for "Imitation Attacks and Defenses for Black-box Machine Translations Systems"
  ☆35Updated 5 years ago