Tensorflow Attention

Dynamic Attention model implementation using Tensorflow along with some examples.

Papers for LSTM:

• LONG SHORT-TERM MEMORY http://www.bioinf.jku.at/publications/older/2604.pdf
• Blog: http://colah.github.io/posts/2015-08-Understanding-LSTMs/

Papers for attention:

• Pointer Networks: https://arxiv.org/abs/1506.03134
• Get To The Point: Summarization with Pointer-Generator Networks: https://arxiv.org/abs/1704.04368
• Effective Approaches to Attention-based Neural Machine Translation: https://arxiv.org/abs/1508.04025

Papers for sentiment classification:

• Attention-based LSTM for Aspect-level Sentiment Classification: based on semEval dataset https://aclweb.org/anthology/D16-1058
• Recurrent Attention Network on Memory for Aspect Sentiment Analysis: http://www.cs.cmu.edu/~lbing/pub/emnlp17_aspect_sentiment.pdf

Papers for summarization:

• Get To The Point: Summarization with Pointer-Generator Networks: https://arxiv.org/abs/1704.04368