I read a paper about abstractive sentence summarization.
This is the link.
This is the link.
In this paper, the authors used attention mechanizm to decide where to focus when decoder outputs.
This neural network model is a modification of the state-of-the-art machine translation model.
This method outperformed the current text abstraction methods.
These days, the improvements of RNN method are heavily affecting Natural Language Processing areas.
I think abstractive sentece summarization is one of the promising areas for advancement of NLP.
