Can abstractive summarization be achieved using neural networks? Text summarization is a long-standing research problem that was "ignited" by Luhn in 1958. However, a half century later, we still came nowhere close  to solving this problem (abstractive summarization). The reason for this might be because researchers are resorting to statistical (and sometimes linguistic) methods to find &amp; extract the most salient parts of the text.

Is summarization problem solvable using AI (neural networks to be precise)?
The ability to re-frame summarization as a problem for ANN is rather dependent on what kind of output you're looking for: you mentioned 'salient parts of the text'.

One possibly is to use a deep learning approach that first chunks together words that belong in the same phrase as a single 'feature'.

Another possibility is to identify both key words and relations between them. Here is some previous work on using neural nets for relational learning.