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

Learning Named Entity Tagger from Domain-Specific Dictionary

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

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

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

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

Combining Distant and Direct Supervision for Neural Relation Extraction

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

Noise Reduction Methods for Distantly Supervised Biomedical Relation Extraction

relation classifcation

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

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

Korean Moview Review Emotion (KMRE) Dataset

Linked Data Knowledge Base Population (KBP) framework built on top of Snorkel. The default configuration uses Wikipedia as text corpus and DBpedia as target.

A template for neural relation extraction

convert the Riedel Dataset

Official Implementation of Finding Influential Instances for Neural Relation Extraction.

Distant supervision for neural cross language information retrieval (CLIR)

Repository for the experiments and dataset described in "Simple Queries as Distant Labels for Predicting Gender on Twitter" presented at W-NUT 2017.

Dataset as a part of RANLP'2019 paper "Distant Supervision for Sentiment Attitude Extraction"

The pytorch implementation of DPEN

A parallel corpus of article-headline pairs obtained from Japanese Wikinews.

Distantly supervised BERT for bag-level multiple instance learning with UMLS KB and MEDLINE texts.