📖 A curated list of awesome resources dedicated to Relation Extraction, one of the most important tasks in Natural Language Processing (NLP).

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

Learning Named Entity Tagger from Domain-Specific Dictionary

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

EMNLP 2018: RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information

Convolutional Neural Network for Multi-label Multi-instance Relation Extraction in Tensorflow

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

Source code for paper "Looking Beyond Label Noise: Shifted Label Distribution Matters in Distantly Supervised Relation Extraction" (EMNLP 2019)

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"

Korean Moview Review Emotion (KMRE) Dataset

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.

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

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