As a software engineer, I am searching for an existing solution or, if none exists, willing to create one that will be able to process texts (e.g. news from online media) to extract/paraphrase dry facts from them, leaving all opinions, analysis, speculations, humor, etc., behind.
If no such solution exists, what would be a good way to start creating it (considering that I have zero experience in AI/machine learning)?
It would be no problem to manually create a set of examples (pairs of original news + dry facts extracted), but is that basically what it takes? I doubt so.
(This knowledge domain is already huge, so which parts of it need to be learned first and foremost to figure out how to achieve the goal?)