plkumjorn / FINDLinks
Codes for the EMNLP 2020 paper -- "FIND: Human-in-the-loop Debugging Deep Text Classifiers"
☆18Updated 4 years ago
Alternatives and similar repositories for FIND
Users that are interested in FIND 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
- Uncertainty-aware Self-training☆121Updated last year
- Code for EMNLP'21 paper "Types of Out-of-Distribution Texts and How to Detect Them"☆25Updated 3 years ago
- ☆15Updated 4 years ago
- EMNLP BlackBox NLP 2020: Searching for a Search Method: Benchmarking Search Algorithms for Generating NLP Adversarial Examples☆24Updated 4 years ago
- CausaLM: Causal Model Explanation Through Counterfactual Language Models☆55Updated 5 years ago
- Code for Paper: Calibrated Language Model Fine-Tuning for In- and Out-of-Distribution Data☆35Updated 4 years ago
- Topic clustering library built on Transformer embeddings and cosine similarity metrics.Compatible with all BERT base transformers from hu…☆43Updated 4 years ago
- Implementation of ICLR 21 paper: Probing BERT in Hyperbolic Spaces☆58Updated 4 years ago
- Code for EMNLP 2019 paper "Attention is not not Explanation"☆58Updated 4 years ago
- ☆22Updated 4 years ago
- Seed-Guided Topic Discovery with Out-of-Vocabulary Seeds (NAACL'22)☆17Updated 5 months ago
- On Explaining Your Explanations of BERT: An Empirical Study with Sequence Classification☆30Updated 2 years ago
- A PyTorch implementation of Context Vector Data Description (CVDD), a method for Anomaly Detection on text.☆71Updated 3 years ago
- ECLARE: Extreme Classification with Label Graph Correlations☆42Updated 3 years ago
- Code for the paper "Generating Hierarchical Explanations on Text Classification via Feature Interaction Detection"☆30Updated 4 years ago
- Neural Topic Modeling with Continual Lifelong Learning (ICML 2020)☆24Updated 5 years ago
- This is the official implementation for the paper "Learning to Scaffold: Optimizing Model Explanations for Teaching"☆19Updated 3 years ago
- The codes for our ACL'22 paper: PRBOOST: Prompt-Based Rule Discovery and Boosting for Interactive Weakly-Supervised Learning.☆35Updated 3 years ago
- Source Code for paper "NERO: A Neural Rule Grounding Framework for Label-Efficient Relation Extraction", WWW 2020☆47Updated 5 years ago
- ☆17Updated 4 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
- Code for the paper "A Fully Hyperbolic Neural Model for Hierarchical Multi-class Classification"☆17Updated 4 years ago
- [NAACL 2022] This is the code repo for our paper `ACTUNE: Uncertainty-based Active Self-Training for Active Fine-Tuning of Pretrained Lan…☆14Updated 2 years ago
- This is the official codebase for KDD 2021 paper Generalized Zero-Shot Extreme Multi-Label Learning☆23Updated 2 years ago
- ☆120Updated 5 years ago
- Implementation of the EMNLP 2020 paper "Counterfactual Generator: A Weakly-Supervised Method for Named Entity Recognition".☆52Updated 4 years ago
- Lite Self-Training☆29Updated last year
- Code Repo for "Differentiable Open-Ended Commonsense Reasoning" (NAACL 2021)☆32Updated 2 years ago
- ☆13Updated last year