I'm working on a thing at the moment and I'm trying to do what's basically written on the title of this post.
Disclaimer: I'm not trying to get my job done by others. Just share ideas and gathering material (if any).
Do you know if there's some study/example/paper on something like that? I'm thinking about dependency trees and part-of-speech tagging to try not to focus on the train set, so that my model is not too "word" dependent. I mean, if I train it on some text, it won't work with something different while, maybe, the structure of agreement and disagreement may show similar patterns event with different subjects.
Let me know and thank you in advance.