Predicting Question Quality using Recurrent Neural Networks

Keyphrases

• Recurrent Neural Network 100%
• Question Quality 100%
• Complexity Index 50%
• Computer-based Learning Environments 25%
• Text Complexity 25%
• Intelligent Tutoring Systems 25%
• Word Embedding 25%
• Machine Learning Techniques 25%
• Reading Strategies 25%
• Automated Assessment Tools 25%
• Neural Network Architecture 25%
• Neural Network Embedding 25%
• Set-based 25%
• Classification Accuracy 25%
• Bidirectional Gated Recurrent Unit (BiGRU) 25%
• Neural Word Embeddings 25%
• Precise Model 25%
• GloVe 25%
• Result Prediction 25%
• FastText 25%
• Lexical Sophistication 25%
• Human Raters 25%
• Index Accuracy 25%
• LSTM Cell 25%

Computer Science

• Recurrent Neural Network 100%
• Word Embedding 66%
• Future Development 33%
• Intelligent Tutoring System 33%
• Classification Accuracy 33%
• Machine Learning Technique 33%
• Automated Assessment Tool 33%
• Long Short-Term Memory Network 33%
• Neural Network Architecture 33%