LSTM-based model for answer selection
This project is based on LSTM-based Deep Learning Models for Non-factoid Answer Selection. The dataset used is from Microsoft Beauty of Programming 2017.
The project achieved arround 58% MRR(Mean Reciprocal Rank) on the validation set.