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

Tensorflow Implementation of Convolutional Neural Network for Relation Extraction (COLING 2014, NAACL 2015)

Implementation of Attention-Based Bidirectional Long Short-Term Memory Networks for Relation Classification.

Pytorch re-implementation of R-BERT model

Tensorflow Implementation of Recurrent Convolutional Neural Network for Relation Extraction

Relation Classification - SEMEVAL 2010 task 8 dataset

Implementation of Relation Classification via Convolutional Deep Neural Network.

Large-scale Exploration of Neural Relation Classification Architectures

A simple tool for converting data format from SemEval2010 to TACRED.

Implementation of Attention-Based Convolutional Neural Network for Semantic Relation Extraction.

Implementation of Enriching Pre-trained Language Model Entity Information for Relation Classification.

Implementation of Classifying Relations by Ranking with Convolutional Neural Networks.

Relation extraction (extraction de relations) - PyTorch

The Repository describes the steps involved in performing a Named Entity Recognition Classifier using a Decision Tree approach.

Quickly annotate your existing dataset with linguistic features (POS, NE, DEP) using Stanford CoreNLP