Pinned Repositories
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
xx55511's Repositories
xx55511/gcn-over-pruned-trees
Graph Convolution over Pruned Dependency Trees Improves Relation Extraction (authors' PyTorch implementation)
xx55511/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
xx55511/machine-learning-model
机器学习算法模型的知识图谱(思维导图)构建
xx55511/mustard
mustard - Machine learning Using Svms To Analyse Rdf Data
xx55511/new-study
xx55511/QA
基于故障诊断知识图谱的问答系统
xx55511/rgcn_paddlepaddle
PaddlePaddle-based implementation of Modeling Relational Data with Graph Convolutional Networks
xx55511/RGTN-NIE
Implementation for the paper: Representation Learning on Knowledge Graphs for Node Importance Estimation
xx55511/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.
xx55511/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
xx55511/uie_pytorch
PaddleNLP UIE模型的PyTorch版实现