I was wondering what approach people would take, or point me in the right direction on this challenge I have set myself. I am pretty new at this, I have covered some area but want to expand my skillset.
Say you have an abstract from a research paper, which is a summarised form of information of a larger document, can you calculate, from a list of papers, which research paper this abstract belongs to?
Please note: I am not asking how to summarise the research paper. Also, note that the abstract information doesn't necessarily take the same form as the research paper, but is semantically similar.
Would you, encode both datasets with a something like doc2vec to try to get the semantic meaning of the texts and then use cosine similarity?
Would the semantics of the numbers used in these papers get lost in the vectorizing?
IN this case, would a custom encoder work the best, or do you think USE or doc2vec would fair better?
Forgive my basic questions, I just wanted to explore things before I started coding!