I originally belong to Computer Vision world. Recently I worked on Scene Understanding. There, I accept an image and generate a sentence explaining the contents of the scene. Now, my professor wants me to generate an essay for a scene.
As per my literature survey, this is not a very easy task to do. So I am completely confused with what should be the approach.
I came across Automatic Essay Grading systems, which break down essay using Latent Semantic Analysis. I am thinking of generating reverse approach:
- From a set of keywords (bag-of-words), form a "random" Entropy Matrix
- Generate a training set to have a Entropy_Matrix: Essay
- Train a system (may be Neural_Net)
But I am not sure what would be representation of essay? I mean how would I generate a training set's output entity?
So please help me find the answers to following questions:
a. Is my approach correct in targeting the problem? If yes, how may I further create a concrete plan?
b. What other parallel approaches could be taken into consideration?
My professor thinks this can be achieved in couple of weeks time, for a constrained "context".(Essay is supposed to have a context, let's say "nature" and "beach" are only two contexts to start with) I strongly disagree with him. If you could share written evidences of your view, it would further help me in coming up with a time-frame.
Your help is already appreciated