The University of Hong Kong / Decision Analytics
Machine Comprehension on SQuAD Dataset
- Built an end-to-end bidirectional attention with self-attention deep neural network model to perform machine comprehension on SQuAD - Applied Natural Language Processing (NLP) techniques such as LSTM, bi-directional attention flow, self-attention, character CNN, Pointer Network, ; Model trained using TensorFlow framework. - Achieved near state-of-the-art result (75.9 F1 score) on dev set compared using single model.