thunlp / Nre

Multiple-Relations-Extraction-Only-Look-Once. Just look at the sentence once and extract the multiple pairs of entities and their corresponding relations. 端到端联合多关系抽取模型，可用于 http://lic2019.ccf.org.cn/kg 信息抽取。

A Novel Cascade Binary Tagging Framework for Relational Triple Extraction. Accepted by ACL 2020.

基于深度学习的开源中文关系抽取框架

LanguageCrunch NLP server docker image

Graph Convolution over Pruned Dependency Trees Improves Relation Extraction (authors' PyTorch implementation)

Distantly Supervised Relation Extraction

Combining Distant and Direct Supervision for Neural Relation Extraction

基于Pytorch和torchtext的自然语言处理深度学习框架。

Attention Guided Graph Convolutional Networks for Relation Extraction (authors' PyTorch implementation for the ACL19 paper)

A Large-Scale Few-Shot Relation Extraction Dataset

A curated list of Open Information Extraction (OIE) resources: papers, code, data, etc.

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 relation extraction (EMNLP, 2018).

中文实体关系抽取，pytorch，bilstm+attention

PyTorch implementation of the position-aware attention model for relation extraction

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

A neural architecture for relation extraction task implemented in Tensorflow.

Knowledge triples extraction and knowledge base construction based on dependency syntax for open domain text.

Entity and Relation Extraction Based on TensorFlow and BERT. 基于TensorFlow和BERT的管道式实体及关系抽取，2019语言与智能技术竞赛信息抽取任务解决方案。Schema based Knowledge Extraction, SKE 2019

研读顶会论文，复现论文相关代码

A curated list of awesome knowledge graph tutorials, projects and communities.