Alternatives and similar repositories for interpret_with_rules

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

• 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
• copenlu / xai-benchmark
  A Diagnostic Study of Explainability Techniques for Text Classification
  ☆69Updated 5 years ago
• shusenl / nlpvis
  Visualization tool for interpreting NLP models
  ☆36Updated 6 years ago
• acmi-lab / counterfactually-augmented-data
  Learning the Difference that Makes a Difference with Counterfactually-Augmented Data
  ☆170Updated 4 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
• sarahwie / attention
  Code for EMNLP 2019 paper "Attention is not not Explanation"
  ☆58Updated 4 years ago
• sidak / context-mover-distance-and-barycenters
  Code accompanying our paper at AISTATS 2020
  ☆21Updated 5 years ago
• microsoft / LeadingConversationalSearchbySuggestingUsefulQuestions
  WebConf 2020 paper Leading Conversational Search by Suggesting Useful Questions
  ☆33Updated 5 years ago
• bastings / interpretable_predictions
  Interpretable Neural Predictions with Differentiable Binary Variables
  ☆85Updated 4 years ago
• microsoft / UST
  Uncertainty-aware Self-training
  ☆123Updated 2 years ago
• peterbhase / InterpretableNLP-ACL2020
  Code for "Evaluating Explainable AI: Which Algorithmic Explanations Help Users Predict Model Behavior?"
  ☆45Updated 2 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
• successar / FRESH
  ☆27Updated 2 years ago
• alontalmor / LeapOfThought
  ☆49Updated 2 years ago
• marcotcr / sears
  Code for "Semantically Equivalent Adversarial Rules for Debugging NLP Models"
  ☆87Updated 7 years ago
• zachwooddoughty / emnlp2018-causal
  Code for "Challenges of Using Text Classifiers for Causal Inference," at EMNLP '18
  ☆24Updated 5 years ago
• CogComp / zoe
  Zero-Shot Open Entity Typing as Type-Compatible Grounding, EMNLP'18.
  ☆42Updated 6 years ago
• hsajjad / Interpretability-Tutorial-NAACL2021
  ☆24Updated 4 years ago
• Georgetown-IR-Lab / covid-neural-ir
  ☆24Updated 5 years ago
• BatsResearch / safranchik-aaai20-code
  ☆15Updated 4 years ago
• jayded / eraserbenchmark
  A benchmark for understanding and evaluating rationales: http://www.eraserbenchmark.com/
  ☆101Updated 3 years ago
• IBM / HOTT
  Code for NeurIPS 2019 paper "Hierarchical Optimal Transport for Document Representation"
  ☆54Updated 6 years ago
• peterbhase / ExplanationRoles
  Code for paper "When Can Models Learn From Explanations? A Formal Framework for Understanding the Roles of Explanation Data"
  ☆14Updated 4 years ago
• cisnlp / semi-markov-crf
  Code for paper "Neural Semi-Markov Conditional Random Fields for Robust Character-Based Part-of-Speech Tagging"
  ☆16Updated 6 years ago
• shreydesai / calibration
  Code and datasets for the EMNLP 2020 paper "Calibration of Pre-trained Transformers"
  ☆61Updated 2 years ago
• umanlp / tg2019task
  TextGraphs-13 Shared Task on Multi-Hop Inference Explanation Regeneration
  ☆44Updated 5 years ago
• IKMLab / arct2
  Code for reproducing experiments in our ACL 2019 paper "Probing Neural Network Comprehension of Natural Language Arguments"
  ☆54Updated 3 years ago
• peterbhase / ExplanationSearch
  Code for paper "Search Methods for Sufficient, Socially-Aligned Feature Importance Explanations with In-Distribution Counterfactuals"
  ☆18Updated 3 years ago
• nicola-decao / diffmask
  Pytorch implementation of DiffMask
  ☆58Updated 2 years ago
• allenai / unifew
  Unifew: Unified Fewshot Learning Model
  ☆18Updated 4 years ago