Top 97 relation-extraction open source projects

农业知识图谱(AgriKG)：农业领域的信息检索，命名实体识别，关系抽取，智能问答，辅助决策

USING BERT FOR Attribute Extraction in KnowledgeGraph. fine-tuning and feature extraction. 使用基于bert的微调和特征提取方法来进行知识图谱百度百科人物词条属性抽取。

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

A PyTorch implementation of GraphRel

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

Code for http://lic2019.ccf.org.cn/kg 信息抽取。使用基于 BERT 的实体抽取和关系抽取的端到端的联合模型。

这是一款基于web的通用文本标注工具，支持大规模实体标注、关系标注、事件标注、文本分类、基于字典匹配和正则匹配的自动标注以及用于实现归一化的标准名标注，同时也支持文本的迭代标注和实体的嵌套标注。标注规范可自定义且同类型任务中可“一次创建多次复用”。通过分级实体集合扩大了实体类型的规模，并设计了全新高效的标注方式，提升了用户体验和标注效率。此外，本工具增加了审核环节，可对多人的标注结果进行一致性检验和调整，提高了标注语料的准确率和可靠性。

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

code of Relation Classification via Multi-Level Attention CNNs

TensorFlow Implementation of the paper "End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures" and "Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Paths" for classifying relations

Joint Neural Relation Extraction with Text and KGs

瑞金医院MMC人工智能辅助构建知识图谱大赛复赛

Federated Knowledge Extraction Framework

基于深度学习的自然语言处理库

Pytorch implementation of R-BERT: "Enriching Pre-trained Language Model with Entity Information for Relation Classification"

Reinforcement Learning for Relation Classification from Noisy Data(TensorFlow)

Open Information Extraction (OpenIE) and Open Relation Extraction (ORE) papers and data.

2019百度的关系抽取比赛，使用Pytorch实现苏神的模型，F1在dev集可达到0.75，联合关系抽取，Joint Relation Extraction.

Macadam是一个以Tensorflow(Keras)和bert4keras为基础，专注于文本分类、序列标注和关系抽取的自然语言处理工具包。支持RANDOM、WORD2VEC、FASTTEXT、BERT、ALBERT、ROBERTA、NEZHA、XLNET、ELECTRA、GPT-2等EMBEDDING嵌入; 支持FineTune、FastText、TextCNN、CharCNN、BiRNN、RCNN、DCNN、CRNN、DeepMoji、SelfAttention、HAN、Capsule等文本分类算法; 支持CRF、Bi-LSTM-CRF、CNN-LSTM、DGCNN、Bi-LSTM-LAN、Lattice-LSTM-Batch、MRC等序列标注算法。

Code and dataset of AAAI2019 paper Hybrid Attention-Based Prototypical Networks for Noisy Few-Shot Relation Classification

Chinese Named Entity Recognition with IDCNN/biLSTM+CRF, and Relation Extraction with biGRU+2ATT 中文实体识别与关系提取

论文实现(ACL2019)：《Matching the Blanks: Distributional Similarity for Relation Learning》

Full abstract relation extraction from biological texts with bi-affine relation attention networks

Adversarial Training for Neural Relation Extraction

BERT + reproduce "Joint entity recognition and relation extraction as a multi-head selection problem" for Chinese and English IE

Chinese Open Information Extraction (Tree-based Triple Relation Extraction Module)

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

AAAI20 "CopyMTL: Copy Mechanism for Joint Extraction of Entities and Relations with Multi-Task Learning"

Relation Extraction using Deep learning(CNN)

[AKBC 19] Improving Relation Extraction by Pre-trained Language Representations

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

Tensorflow Implementation of Recurrent Convolutional Neural Network for Relation Extraction

Relation Extraction 中文关系提取

An open relation extraction system

Semantic annotator: Matching CSV to a Wikibase instance (e.g., Wikidata) via Meta-lookup

End-to-end neural relation extraction using deep biaffine attention (ECIR 2019)

REx: Relation Extraction. Modernized re-write of the code in the master's thesis: "Relation Extraction using Distant Supervision, SVMs, and Probabalistic First-Order Logic"

Neural Relation Extraction in Pytorch

A collection of research on knowledge graphs

Zero-shot Transfer Learning from English to Arabic

Must-read papers on neural relation extraction (NRE)

Neural Relation Extraction, including CNN, PCNN, CNN+ATT, PCNN+ATT

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

基于Pytorch和torchtext的自然语言处理深度学习框架。

研读顶会论文，复现论文相关代码

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

基于深度学习的开源中文关系抽取框架

A Large-Scale Few-Shot Relation Extraction Dataset

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

中文实体关系抽取，pytorch，bilstm+attention

Distantly Supervised Relation Extraction

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

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

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

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

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).

An Open-Source Package for Neural Relation Extraction (NRE)

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

LanguageCrunch NLP server docker image

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