Retrieving and ranking short medical questions with two stages neural matching model

Keyphrases

• Search Methods 100%
• Matching Model 100%
• Medical Questions 100%
• Internet Hospital 50%
• Online Healthcare 50%
• Recent Advances 50%
• Popular 50%
• Single-stage 50%
• Search Engine 50%
• Machine Learning Approach 50%
• Health Care Services 50%
• Deep Learning Model 50%
• Healthcare Professionals 50%
• Health-related 50%
• Internet of Healthcare Things (IoHT) 50%
• Recurrent Neural Network 50%
• U.S. Data 50%
• Term Frequency-inverse Document Frequency (TF-IDF) 50%
• Siamese 50%
• Automatic Information Retrieval 50%
• Automated Machine 50%
• User Query 50%
• Web Technologies 50%
• Medical Field 50%
• Two-stage Framework 50%
• Similarity-based 50%
• Internet Users 50%
• Semantic Matching 50%
• Information Retrieval 50%
• Information Machine 50%
• Hierarchical Design 50%
• Sentence Similarity 50%
• Computerized Interpretation 50%
• High Demand 50%
• Question Answering 50%
• Clinical Data Mining 50%
• Technology Demand 50%
• Online Medical Services 50%
• Medical Corpus 50%

Computer Science

• Related Question 100%
• Matching Model 100%
• Search Technique 100%
• Information Retrieval 100%
• Search Engine 50%
• Machine Learning Approach 50%
• Healthcare Service 50%
• Data Mining 50%
• Data Source 50%
• Healthcare Provider 50%
• New-State 50%
• Internet Technology 50%
• Recurrent Neural Network 50%
• Deep Learning Model 50%
• Problem Setting 50%