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)
☆50Updated 2 years ago
Alternatives and similar repositories for Learning-From-Rules:
Users that are interested in Learning-From-Rules are comparing it to the libraries listed below
- Code for paper "When Can Models Learn From Explanations? A Formal Framework for Understanding the Roles of Explanation Data"☆14Updated 4 years ago
- TextGraphs-13 Shared Task on Multi-Hop Inference Explanation Regeneration☆43Updated 5 years ago
- ☆63Updated 3 years ago
- ☆46Updated 5 years ago
- Code for EMNLP 2019 paper "Attention is not not Explanation"☆58Updated 3 years ago
- ☆27Updated last year
- Interpretable Neural Predictions with Differentiable Binary Variables☆84Updated 4 years ago
- EMNLP 2021 Adapting Language Models for Zero-shot Learning by Meta-tuning on Dataset and Prompt Collections☆50Updated 3 years ago
- Code for ACL'20 paper "It's Morphin' Time! Combating Linguistic Discrimination with Inflectional Perturbations"☆19Updated this week
- Zero-Shot Open Entity Typing as Type-Compatible Grounding, EMNLP'18.☆42Updated 5 years ago
- Factorization of the neural parameter space for zero-shot multi-lingual and multi-task transfer☆39Updated 4 years ago
- ☆49Updated last year
- Code for our ACL '20 paper "Representation Engineering with Natural Language Explanations"☆29Updated 4 years ago
- A dataset for realistic evaluation of noisy label methods☆14Updated last year
- Unifew: Unified Fewshot Learning Model☆18Updated 3 years ago
- ☆19Updated 4 years ago
- Code for reproducing experiments in our ACL 2019 paper "Probing Neural Network Comprehension of Natural Language Arguments"☆53Updated 2 years ago
- Official code for the paper "PERL: Pivot-based Domain Adaptation for Pre-trained Deep Contextualized Embedding Models".☆16Updated 2 years ago
- Probing task; contextual embeddings -> textual definitions (EMNLP19)☆11Updated 4 years ago
- ☆43Updated 5 years ago
- ☆14Updated 6 years ago
- Language Model Baselines for PyTorch☆42Updated 4 years ago
- NILE : Natural Language Inference with Faithful Natural Language Explanations☆30Updated last year
- PyTorch implementation of Gaussian word embeddings☆19Updated 7 years ago
- Code for Paper: Calibrated Language Model Fine-Tuning for In- and Out-of-Distribution Data☆35Updated 4 years ago
- Code for NeurIPS 2019 paper "Hierarchical Optimal Transport for Document Representation"☆54Updated 5 years ago
- Max-Margin Markov Graph Models for WordNet (EMNLP 2018)☆41Updated 4 years ago
- ☆47Updated 4 years ago
- [EMNLP 2020] Collective HumAn OpinionS on Natural Language Inference Data☆36Updated 3 years ago
- Code for gradient rollback, which explains predictions of neural matrix factorization models, as for example used for knowledge base comp…☆21Updated 4 years ago