Improved QA-RNN model with noun-tagging for better accuracy.
problem Improving accuracy of QA-RNN model for entity detection and relation prediction.
method Fine-tuned a 2-layer LSTM and GRU RNN models, removed non-noun words, and used 1-layer LSTM for entity detection.
result Achieved 0.984 accuracy on entity detection and 0.80 accuracy on relation prediction.