skweak: A software toolkit for weak supervision applied to NLP tasks

BOND: BERT-Assisted Open-Domain Name Entity Recognition with Distant Supervision

Code for NAACL 2019 paper: Distant Supervision Relation Extraction with Intra-Bag and Inter-Bag Attentions

Named Entity Recognition with Small Strongly Labeled and Large Weakly Labeled Data

[ACL 19] Fine-tuning Pre-Trained Transformer Language Models to Distantly Supervised Relation Extraction

[EMNLP 2021] Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-Training

Combining Distant and Direct Supervision for Neural Relation Extraction

ACL 2021

Improving Distantly-Supervised Relation Extraction through BERT-based Label & Instance Embeddings

NAACL 2019 "Structured Minimally Supervised Learning for Neural Relation Extraction"

MIL-RBERT: A Data-driven Approach for Noise Reduction in Distantly Supervised Biomedical Relation Extraction (BioNLP @ ACL 2020)

Implementation of Neural Relation Extraction with Selective Attention over Instances.

[EMNLP 2023] Semi-automatic Data Enhancement for Document-Level Relation Extraction with Distant Supervision from Large Language Models

Resources for the paper "PARE: A Simple and Strong Baseline for Monolingual and Multilingual Distantly Supervised Relation Extraction"

Noise Reduction Methods for Distantly Supervised Biomedical Relation Extraction

Code and dataset for IJCNN2019 paper 'Dilated Convolutional Networks Incorporating Soft Entity Type Constraints for Distant Supervised Relation Extraction'

Distantly-Supervised Joint Entity and Relation Extraction with Noise-Robust Learning

Code for AICS paper: "Multi-level Attention-Based Neural Networks for Distant Supervised Relation Extraction"

Codebase for the ACL 2023 paper: "Uncertainty-Aware Bootstrap Learning for Joint Extraction on Distantly-Supervised Data"

A template for neural relation extraction