Question answering with deep neural networks for semi-structured heterogeneous genealogical knowledge graphs

Keyphrases

• Question Answering 100%
• Deep Neural Network 100%
• Knowledge Graph 100%
• Genealogical Data 100%
• Family Tree 66%
• Question Answering Model 66%
• Accuracy Improvement 33%
• Graph-based 33%
• General Public 33%
• Training Data 33%
• Graph Structure 33%
• Sequence-based 33%
• Deep Learning Architectures 33%
• Model Use 33%
• User-generated 33%
• Architecture-centric 33%
• Unstructured Text 33%
• Supervised Deep Neural Network 33%
• Transformer-based 33%
• Open-domain 33%
• Self-attention Network 33%
• Real-world Projects 33%
• Proposed Methodology 33%
• Uncle 33%
• Genealogical Studies 33%
• Model Fine-tuning 33%

Computer Science

• Deep Neural Network 100%
• Neural Network Model 50%
• Practical Implication 25%
• And-States 25%
• Reduce Complexity 25%
• Bidirectional Encoder Representations From Transformers 25%
• Neural Network Architecture 25%
• Attention (Machine Learning) 25%
• Information System 25%
• Training Dataset 25%