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