dykang / cgraphLinks
dataset for Detecting and Explaining Causes From Text For a Time Series Event, EMNLP'17
☆15Updated 5 years ago
Alternatives and similar repositories for cgraph
Users that are interested in cgraph are comparing it to the libraries listed below
Sorting:
- Implementation of experiments in paper "Learning from Rules Generalizing Labeled Exemplars" to appear in ICLR2020 (https://openreview.net…☆50Updated 2 years ago
- Tensorflow port implementation of Single Headed Attention RNN☆16Updated 6 years ago
- Our paper is titled "NUS-IDS at FinCausal 2021: Dependency Tree in Graph Neural Networks for better Cause-Effect Span Detection".☆13Updated 3 years ago
- Code for "Challenges of Using Text Classifiers for Causal Inference," at EMNLP '18☆24Updated 5 years ago
- Code for our ACL '20 paper "Representation Engineering with Natural Language Explanations"☆29Updated 5 years ago
- Code for reproducing experiments in our ACL 2019 paper "Probing Neural Network Comprehension of Natural Language Arguments"☆54Updated 3 years ago
- ☆22Updated last year
- ☆30Updated 7 years ago
- Code for EMNLP 2019 paper "Attention is not not Explanation"☆58Updated 4 years ago
- Word2ket: Space-efficient Word Embeddings inspired by Quantum Entanglement☆52Updated 5 years ago
- Code accompanying our paper at AISTATS 2020☆21Updated 5 years ago
- CausaLM: Causal Model Explanation Through Counterfactual Language Models☆56Updated 5 years ago
- Hybrid Approaches to Detect Comments Violating Macro Norms on Reddit☆28Updated 6 years ago
- Boolean Question Answering with multi-task learning and uses large LM embeddings like BERT, RoBERTa☆18Updated 6 years ago
- ☆12Updated 7 years ago
- Code for paper "When Can Models Learn From Explanations? A Formal Framework for Understanding the Roles of Explanation Data"☆14Updated 4 years ago
- Interpretable Neural Predictions with Differentiable Binary Variables☆85Updated 4 years ago
- Model for learning document embeddings along with their uncertainties☆36Updated 2 years ago
- PyTorch code for meta seq2seq learning☆43Updated 6 years ago
- Probing task; contextual embeddings -> textual definitions (EMNLP19)☆11Updated 4 years ago
- ☆24Updated 9 months ago
- Using / reproducing DAC from the paper "Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees"☆28Updated 4 years ago
- "Deriving Machine Attention from Human Rationales" EMNLP 2018☆27Updated 6 years ago
- Feature Interaction Interpretability via Interaction Detection☆35Updated 2 years ago
- Code for NeurIPS 2019 paper "Hierarchical Optimal Transport for Document Representation"☆54Updated 6 years ago
- Language Model Baselines for PyTorch☆41Updated 5 years ago
- ☆13Updated 2 years ago
- Layerwise Relevance Visualization in Convolutional Text Graph Classifiers☆12Updated 4 years ago
- Code for "Evaluating Explainable AI: Which Algorithmic Explanations Help Users Predict Model Behavior?"☆45Updated 2 years ago
- Code for the TACL paper "Nurse is Closer to Woman than Surgeon? Mitigating Gender-Biased Proximities in Word Embeddings"☆16Updated 5 years ago