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gcn-over-pruned-trees

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

knowledgegraph_ner

中文医学知识图谱命名实体识别，包括bi-LSTM+CRF，transformer+CRF等模型

machine-learning-model

机器学习算法模型的知识图谱（思维导图）构建

mustard

mustard - Machine learning Using Svms To Analyse Rdf Data

new-study

qa

基于故障诊断知识图谱的问答系统

rgcn_paddlepaddle

PaddlePaddle-based implementation of Modeling Relational Data with Graph Convolutional Networks

rgtn-nie

Implementation for the paper: Representation Learning on Knowledge Graphs for Node Importance Estimation

semantic-pascal-part

This is a curated semantic version of the PASCAL-Part dataset for part-based object detection. Objects are aligned with WordNet and Yago concepts. The dataset is both in PASCAL-Voc and RDF format.

shukongdashi

使用知识图谱，自然语言处理，卷积神经网络等技术，基于python语言，设计了一个数控领域故障诊断专家系统

uie_pytorch

PaddleNLP UIE模型的PyTorch版实现