IBM / low-resource-text-classification-frameworkLinks
Research framework for low resource text classification that allows the user to experiment with classification models and active learning strategies on a large number of sentence classification datasets, and to simulate real-world scenarios. The framework is easily expandable to new classification models, active learning strategies and datasets.
☆101Updated 3 years ago
Alternatives and similar repositories for low-resource-text-classification-framework
Users that are interested in low-resource-text-classification-framework are comparing it to the libraries listed below
Sorting:
- https://arxiv.org/pdf/1909.04054☆79Updated 3 years ago
- [NAACL 2021] This is the code for our paper `Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self…☆205Updated 3 years ago
- ☆88Updated 3 years ago
- Data/Code Repository for https://api.semanticscholar.org/CorpusID:218470122☆135Updated last year
- State of the art Semantic Sentence Embeddings☆99Updated 3 years ago
- Collection of NLP model explanations and accompanying analysis tools☆144Updated 2 years ago
- ☆68Updated 6 months ago
- BOND: BERT-Assisted Open-Domain Name Entity Recognition with Distant Supervision☆291Updated 4 years ago
- A Natural Language Inference (NLI) model based on Transformers (BERT and ALBERT)☆137Updated last year
- [EMNLP 2021] Improving and Simplifying Pattern Exploiting Training☆153Updated 3 years ago
- ☆121Updated 5 years ago
- Unsupervised Domain Adaptation of Contextualized Embeddings for Sequence Labeling☆46Updated 6 years ago
- Interpretable Evaluation for (Almost) All NLP Tasks☆195Updated last month
- ☆62Updated 2 years ago
- A library to conduct ranking experiments with transformers.☆160Updated 2 years ago
- SUPERT: Unsupervised multi-document summarization evaluation & generation☆95Updated 2 years ago
- Awesome Neural Adaptation in Natural Language Processing. A curated list. https://arxiv.org/abs/2006.00632☆267Updated 4 years ago
- Named Entity Recognition with Small Strongly Labeled and Large Weakly Labeled Data☆100Updated 2 years ago
- Automatically detect errors in annotated corpora.☆47Updated 2 years ago
- Framework for weakly supervised deep sequence taggers, focused on named entity recognition☆77Updated 2 years ago
- A template for starting a new allennlp project using config files and `allennlp train`☆38Updated last year
- Hyperparameter Search for AllenNLP☆140Updated 8 months ago
- Framework to learn Named Entity Recognition models without labelled data using weak supervision.☆124Updated 4 years ago
- pyTorch implementation of Recurrence over BERT (RoBERT) based on this paper https://arxiv.org/abs/1910.10781 and comparison with pyTorch …☆82Updated 3 years ago
- Data and code for our paper "Exploring and Predicting Transferability across NLP Tasks", to appear at EMNLP 2020.☆50Updated 4 years ago
- Materials for the EMNLP 2020 Tutorial on "Interpreting Predictions of NLP Models"☆200Updated 4 years ago
- LongSumm - Scientific Document Summarization Task☆74Updated 3 years ago
- Multi^2OIE: Multilingual Open Information Extraction Based on Multi-Head Attention with BERT (Findings of ACL: EMNLP 2020)☆56Updated 3 years ago
- ☆36Updated 2 years ago
- On the Stability of Fine-tuning BERT: Misconceptions, Explanations, and Strong Baselines☆137Updated 2 years ago