QA-LSTM

LSTM-based Deep Learning Models for Non-factoid Answer Selection Ming Tan, Cicero dos Santos, Bing Xiang, Bowen Zhou, ICLR 2016 https://arxiv.org/abs/1511.04108

This repo contains the implementation of QA-LSTM in PyTorch. Currently only concludes a basic QA-LSTM model.

Requirements

• pytorch 0.3.0
• tqdm
• insuranceQA dataset V2

TODOs

• Dropout before cosine similality matching
• 100-dim wordembedding and fine-tune
• Add CNN and attention models
• Performance analysis
• maxpooling