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

PyTorch implementation for "Matching the Blanks: Distributional Similarity for Relation Learning" paper

Implementation of our papers Joint entity recognition and relation extraction as a multi-head selection problem (Expert Syst. Appl, 2018) and Adversarial training for multi-context joint entity and…

Joint Relation Extraction with Hierarchical Reinforcement Learning

Examples for aligning, padding and batching sequence labeling data (NER) for use with pre-trained transformer models

Tevatron - A flexible toolkit for neural retrieval research and development.

Topic modeling for NYT articles.

GenSLMs: Genome-scale language models reveal SARS-CoV-2 evolutionary dynamics