Alternatives and similar repositories for Learning-From-Rules:

Users that are interested in Learning-From-Rules are comparing it to the libraries listed below

• 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
• sarahwie / attention
  Code for EMNLP 2019 paper "Attention is not not Explanation"
  ☆58Updated 3 years ago
• CogComp / zoe
  Zero-Shot Open Entity Typing as Type-Compatible Grounding, EMNLP'18.
  ☆42Updated 5 years ago
• umanlp / tg2019task
  TextGraphs-13 Shared Task on Multi-Hop Inference Explanation Regeneration
  ☆44Updated 5 years ago
• DFKI-NLP / lrv
  Layerwise Relevance Visualization in Convolutional Text Graph Classifiers
  ☆12Updated 3 years ago
• nng555 / ssmba
  ☆63Updated 2 years ago
• alontalmor / oLMpics
  ☆46Updated 5 years ago
• NPoe / neural-nlp-explanation-experiment
  ☆14Updated 6 years ago
• tuvuumass / task-transferability
  Data and code for our paper "Exploring and Predicting Transferability across NLP Tasks", to appear at EMNLP 2020.
  ☆49Updated 4 years ago
• Lingkai-Kong / Calibrated-BERT-Fine-Tuning
  Code for Paper: Calibrated Language Model Fine-Tuning for In- and Out-of-Distribution Data
  ☆35Updated 4 years ago
• harmanpreet93 / poincare-embedding-using-gensim
  Train poincare embedding using gensim
  ☆19Updated 6 years ago
• successar / FRESH
  ☆27Updated last year
• acmi-lab / counterfactually-augmented-data
  Learning the Difference that Makes a Difference with Counterfactually-Augmented Data
  ☆169Updated 3 years ago
• CoderPat / learning-scaffold
  This is the official implementation for the paper "Learning to Scaffold: Optimizing Model Explanations for Teaching"
  ☆19Updated 2 years ago
• nicola-decao / diffmask
  Pytorch implementation of DiffMask
  ☆55Updated last year
• IBM / HOTT
  Code for NeurIPS 2019 paper "Hierarchical Optimal Transport for Document Representation"
  ☆54Updated 5 years ago
• MurtyShikhar / ExpBERT
  Code for our ACL '20 paper "Representation Engineering with Natural Language Explanations"
  ☆29Updated 4 years ago
• text-machine-lab / adversarial_decomposition
  The code for the paper "Adversarial Decomposition of Text Representation", NAACL 2019
  ☆29Updated 2 years ago
• Lorraine333 / box_embeddings
  Experiments of ACL 2018 paper box embeddings
  ☆32Updated 6 years ago
• alontalmor / LeapOfThought
  ☆49Updated last year
• weakrules / Denoise-multi-weak-sources
  ☆19Updated 4 years ago
• cambridgeltl / parameter-factorization
  Factorization of the neural parameter space for zero-shot multi-lingual and multi-task transfer
  ☆39Updated 4 years ago
• IBM / superglue-mtl
  Boolean Question Answering with multi-task learning and uses large LM embeddings like BERT, RoBERTa
  ☆18Updated 5 years ago
• ruiqi-zhong / Meta-tuning
  EMNLP 2021 Adapting Language Models for Zero-shot Learning by Meta-tuning on Dataset and Prompt Collections
  ☆50Updated 3 years ago
• MiuLab / GenDef
  Probing task; contextual embeddings -> textual definitions (EMNLP19)
  ☆11Updated 3 years ago
• AkariAsai / logic_guided_qa
  The official implementation of ACL 2020, "Logic-Guided Data Augmentation and Regularization for Consistent Question Answering".
  ☆71Updated 7 months ago
• mega002 / annotator_bias
  The accompanying code for "Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understandin…
  ☆21Updated 5 years ago
• cognitiveailab / tg2021task
  Participant Kit for the TextGraphs-15 Shared Task on Explanation Regeneration
  ☆19Updated 3 years ago
• sidak / context-mover-distance-and-barycenters
  Code accompanying our paper at AISTATS 2020
  ☆21Updated 4 years ago
• ofirpress / sandwich_transformer
  This repository contains the code for running the character-level Sandwich Transformers from our ACL 2020 paper on Improving Transformer …
  ☆55Updated 4 years ago