michael-aloys / awesome-weak-supervisionLinks
☆40Updated 2 years ago
Alternatives and similar repositories for awesome-weak-supervision
Users that are interested in awesome-weak-supervision are comparing it to the libraries listed below
Sorting:
- A PyTorch-based open-source framework that provides methods for improving the weakly annotated data and allows researchers to efficiently…☆108Updated last year
- ☆22Updated 3 years ago
- Self-training with Weak Supervision (NAACL 2021)☆163Updated 2 years ago
- Implementation, trained models and result data for the paper "Aspect-based Document Similarity for Research Papers" #COLING2020☆63Updated last year
- A monolingual and cross-lingual meta-embedding generation and evaluation framework☆79Updated 3 years ago
- ☆59Updated 4 years ago
- Collection of NLP model explanations and accompanying analysis tools☆144Updated 2 years ago
- ☆43Updated 2 years ago
- A python package for benchmarking interpretability techniques on Transformers.☆214Updated last year
- [NAACL 2021] This is the code for our paper `Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self…☆206Updated 3 years ago
- Code and data form the paper BERT Got a Date: Introducing Transformers to Temporal Tagging☆69Updated 3 years ago
- XAI based human-in-the-loop framework for automatic rule-learning.☆49Updated last year
- Source code and data for Like a Good Nearest Neighbor☆30Updated 11 months ago
- A Python library aimed at dissecting and augmenting NER training data.☆59Updated 2 years ago
- Data Programming by Demonstration (DPBD) for Document Classification☆35Updated 4 years ago
- ☆37Updated last month
- Explainable Zero-Shot Topic Extraction☆65Updated last year
- Weakly Supervised End-to-End Learning (NeurIPS 2021)☆156Updated 2 years ago
- ☆18Updated 3 years ago
- RATransformers 🐭- Make your transformer (like BERT, RoBERTa, GPT-2 and T5) Relation Aware!☆42Updated 3 years ago
- GLaRA: Graph-based Labeling Rule Augmentation for Weakly Supervised Named Entity Recognition☆31Updated 3 years ago
- Ranking of fine-tuned HF models as base models.☆36Updated 3 months ago
- Alternate Implementation for Zero Shot Text Classification: Instead of reframing NLI/XNLI, this reframes the text backbone of CLIP models…☆37Updated 3 years ago
- Semantically Structured Sentence Embeddings☆69Updated last year
- TimeLMs: Diachronic Language Models from Twitter☆111Updated last year
- [LREC 2022] An off-the-shelf pre-trained Tweet NLP Toolkit (NER, tokenization, lemmatization, POS tagging, dependency parsing) + Tweeban…☆105Updated last year
- diagNNose is a Python library that facilitates a broad set of tools for analysing hidden activations of neural models.☆82Updated 2 years ago
- Data programming by demonstration for information extraction and span annotation☆34Updated 4 years ago
- Examples for aligning, padding and batching sequence labeling data (NER) for use with pre-trained transformer models☆64Updated 3 years ago
- Exploring NLP weak supervision approaches to train text classification models. The project is also a prototype for a semi-automated text …☆22Updated last year