awasthiabhijeet / Learning-From-Rules
Implementation of experiments in paper "Learning from Rules Generalizing Labeled Exemplars" to appear in ICLR2020 (https://openreview.net/forum?id=SkeuexBtDr)
☆48Updated last year
Alternatives and similar repositories for Learning-From-Rules:
Users that are interested in Learning-From-Rules are comparing it to the libraries listed below
- ☆27Updated last year
- Code for paper "When Can Models Learn From Explanations? A Formal Framework for Understanding the Roles of Explanation Data"☆14Updated 3 years ago
- Code for EMNLP 2019 paper "Attention is not not Explanation"☆57Updated 3 years ago
- ☆63Updated 2 years ago
- This is the official implementation for the paper "Learning to Scaffold: Optimizing Model Explanations for Teaching"☆19Updated 2 years ago
- TextGraphs-13 Shared Task on Multi-Hop Inference Explanation Regeneration☆44Updated 4 years ago
- ☆48Updated last year
- Code for Paper: Calibrated Language Model Fine-Tuning for In- and Out-of-Distribution Data☆35Updated 4 years ago
- ☆46Updated 4 years ago
- Code for reproducing experiments in our ACL 2019 paper "Probing Neural Network Comprehension of Natural Language Arguments"☆53Updated 2 years ago
- ☆14Updated 6 years ago
- A Diagnostic Study of Explainability Techniques for Text Classification☆66Updated 4 years ago
- Code for "Evaluating Explainable AI: Which Algorithmic Explanations Help Users Predict Model Behavior?"☆44Updated last year
- Hyperparameter Search for AllenNLP☆134Updated last week
- ☆24Updated 4 years ago
- Probing task; contextual embeddings -> textual definitions (EMNLP19)☆11Updated 3 years ago
- Code and datasets for the EMNLP 2020 paper "Calibration of Pre-trained Transformers"☆57Updated last year
- Zero-Shot Open Entity Typing as Type-Compatible Grounding, EMNLP'18.☆43Updated 5 years ago
- Checking the interpretability of attention on text classification models☆47Updated 5 years ago
- Code base for the EMNLP 2021 Findings paper: Cartography Active Learning☆14Updated last year
- EMNLP 2021 Adapting Language Models for Zero-shot Learning by Meta-tuning on Dataset and Prompt Collections☆50Updated 3 years ago
- Code and pre-trained models for "ReasonBert: Pre-trained to Reason with Distant Supervision", EMNLP'2021☆29Updated last year
- Code for paper "Leakage-Adjusted Simulatability: Can Models Generate Non-Trivial Explanations of Their Behavior in Natural Language?"☆20Updated 4 years ago
- Code for the paper: Don't Settle for Average, Go for the Max: Fuzzy Sets and Max-Pooled Word Vectors, ICLR 2019.☆43Updated 2 years ago
- TextGraphs-14 Shared Task on Multi-Hop Inference Explanation Regeneration☆9Updated 3 years ago
- ☆43Updated 5 years ago
- Code for gradient rollback, which explains predictions of neural matrix factorization models, as for example used for knowledge base comp…☆21Updated 3 years ago
- Code for our ACL '20 paper "Representation Engineering with Natural Language Explanations"☆29Updated 4 years ago
- Code for NeurIPS 2019 paper "Hierarchical Optimal Transport for Document Representation"☆54Updated 4 years ago
- This is a repository with the code for the EMNLP 2020 paper "Information-Theoretic Probing with Minimum Description Length"☆69Updated 4 months ago