This work takes the lead to study the aspect/sentiment-aware abstractive review summarization in an end-to-end manner without hand-crafted features and templates by exploring the encoder-decoder framework and multi-factor attentions.
we propose a mutual attention mechanism to interactively learns the representations of context words, sentiment words and aspect words within the reviews, acted as an encoder.