acmi-lab / counterfactually-augmented-data
Learning the Difference that Makes a Difference with Counterfactually-Augmented Data
☆169Updated 3 years ago
Alternatives and similar repositories for counterfactually-augmented-data:
Users that are interested in counterfactually-augmented-data are comparing it to the libraries listed below
- ☆89Updated 2 years ago
- Interpretable Neural Predictions with Differentiable Binary Variables☆84Updated 3 years ago
- A benchmark for understanding and evaluating rationales: http://www.eraserbenchmark.com/☆96Updated 2 years ago
- Demo for method introduced in "Beyond Word Importance: Contextual Decomposition to Extract Interactions from LSTMs"☆56Updated 4 years ago
- This is a repository with the code for the EMNLP 2020 paper "Information-Theoretic Probing with Minimum Description Length"☆69Updated 7 months ago
- Code for the paper "Causal Mediation Analysis for Interpreting Neural NLP: The Case of Gender Bias"☆74Updated 3 years ago
- code and data for EMNLP-19 paper "Counterfactual Story Reasoning and Generation" https://arxiv.org/abs/1909.04076☆101Updated 4 years ago
- [ACL 2020] Towards Debiasing Sentence Representations☆64Updated 2 years ago
- ☆64Updated 4 years ago
- A Diagnostic Study of Explainability Techniques for Text Classification☆66Updated 4 years ago
- Find text features that are most related to an outcome, controlling for confounds.☆60Updated 8 months ago
- Pytorch implementation of DiffMask☆55Updated last year
- ☆24Updated 3 years ago
- Code for EMNLP 2019 paper "Attention is not not Explanation"☆58Updated 3 years ago
- ☆27Updated last year
- Implementation of "Von Mises-Fisher Loss for Training Sequence to Sequence Models with Continuous Outputs"☆77Updated 3 years ago
- ☆88Updated last year
- Materials for the EMNLP 2020 Tutorial on "Interpreting Predictions of NLP Models"☆199Updated 4 years ago
- ☆96Updated 2 years ago
- Repository describing example random control tasks for designing and interpreting neural probes☆32Updated 2 years ago
- Code for SPINE - Sparse Interpretable Neural Embeddings. Jhamtani H.*, Pruthi D.*, Subramanian A.*, Berg-Kirkpatrick T., Hovy E. AAAI 20…☆52Updated 5 years ago
- PyTorch implementation of A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text (EMNLP 2019)☆48Updated 5 years ago
- ☆39Updated 5 years ago
- Code for Paper: Calibrated Language Model Fine-Tuning for In- and Out-of-Distribution Data☆35Updated 4 years ago
- Code and datasets for the EMNLP 2020 paper "Calibration of Pre-trained Transformers"☆59Updated last year
- Source code for "Towards Hierarchical Importance Attribution: Explaining Compositional Semantics for Neural Sequence Models", ICLR 2020.☆30Updated 4 years ago
- OOD Generalization and Detection (ACL 2020)☆60Updated 4 years ago
- Heuristic Analysis for NLI Systems☆125Updated 4 years ago
- Code for "Rissanen Data Analysis: Examining Dataset Characteristics via Description Length" by Ethan Perez, Douwe Kiela, and Kyungyhun Ch…☆35Updated 3 years ago
- NILE : Natural Language Inference with Faithful Natural Language Explanations☆30Updated last year