#数据仓库#The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
翻译 - 在数据集中查找标签错误并使用嘈杂的标签进行学习。
#计算机科学#A system for quickly generating training data with weak supervision
翻译 - 一种在监管不力的情况下快速生成训练数据的系统
#自然语言处理#Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets
#自然语言处理#skweak: A software toolkit for weak supervision applied to NLP tasks
翻译 - skweak:适用于 NLP 任务的弱监督软件工具包
#自然语言处理#BOND: BERT-Assisted Open-Domain Name Entity Recognition with Distant Supervision
#搜索#Labelling platform for text using weak supervision.
#计算机科学#Manga&Comic text detection
#自然语言处理#[NeurIPS 2021] WRENCH: Weak supeRvision bENCHmark
[NAACL 2021] This is the code for our paper `Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self-Training Approach'.
Implementation of CRAFT Text Detection
#计算机科学#A curated list of programmatic weak supervision papers and resources
Labeling is boring. Use this tool to speed up your next object detection project!
#计算机科学#Weakly Supervised End-to-End Learning (NeurIPS 2021)
#计算机科学#Dataset for paper "Weak Supervision for Fake News Detection via Reinforcement Learning" published in AAAI'2020.
#自然语言处理#Framework to learn Named Entity Recognition models without labelled data using weak supervision.
#计算机科学#A PyTorch-based open-source framework that provides methods for improving the weakly annotated data and allows researchers to efficiently develop and compare their own methods.
#计算机科学#SPEAR: Programmatically label and build training data quickly.
Named Entity Recognition with Small Strongly Labeled and Large Weakly Labeled Data
Weakly supervised medical named entity classification