Weigoss's repositories
Military_KG
A Military Knowledge Graph Using Baidu Relation Extraction Baseline System
relation-extraction-with-active-learning
基于主动学习的实体关系抽取
joint_entrel_gcn
采用gcn实体和关系抽取
ALBERT
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
Awesome-KGC
Some related projects and research about knowledge graph completion task
BiGRU-CRF-with-Attention-for-NER
Named Entity Recognition (NER) with different combinations of BiGRU, Self-Attention and CRF
CENET
Temporal Knowledge Graph Reasoning with Historical Contrastive Learning
Chatbot_CN
基于金融-司法领域(兼有闲聊性质)的聊天机器人,其中的主要模块有信息抽取、NLU、NLG、知识图谱等,并且利用Django整合了前端展示,目前已经封装了nlp和kg的restful接口
CompGCN
ICLR 2020: Composition-Based Multi-Relational Graph Convolutional Networks
CyGNet
Learning from History: Modeling Temporal Knowledge Graphs with Sequential Copy-Generation Networks
deepke
基于深度学习的开源中文关系抽取框架
EAkit
Entity Alignment toolkit (EAkit), a lightweight, easy-to-use and highly extensible PyTorch implementation of many entity alignment algorithms.
Entity-Relation-Extraction
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
GCN4KGC
The code of paper Rethinking Graph Convolutional Networks in Knowledge Graph Completion. Zhanqiu Zhang, Jie Wang, Jieping Ye, Feng Wu. WWW 2022.
Information-Extraction-Chinese
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
kg-reeval
ACL 2020: A Re-evaluation of Knowledge Graph Completion Methods
KGC-Benchmark-Datasets
Knowledge Graph Completion Benchmark Datasets
knowledge-graphs
A collection of research on knowledge graphs
people_relation_extract
结合BERT+GRU+ATT模型,对自己收集的人物关系数据进行模型训练,用于人物关系抽取。
RDGCN
Source code and datasets for IJCAI 2019 paper: Relation-Aware Entity Alignment for Heterogeneous Knowledge Graphs.
Relationship-extraction-master
通过BiGRU+注意力机制对关系进行自动抽取
Research
novel deep learning research works with PaddlePaddle
smac
SMAC: The StarCraft Multi-Agent Challenge
StarCraft
Implementations of QMIX, VDN, COMA, QTRAN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II