papers.md

 Tasks:
+- Input: papers, TODO: Parse a list of references in a paper and restore exact information on the authors, title, doi, etc. of the referenced papers and for the authors - e-mail, titles, position, affiliations and so on, add this to the data base with relation to the paper in hand
+- the same as the above but recursively for the list of references in referenced papers and so on till the beginning of history
+- Design a semantic space where all the papers can be assigned a position and where we can measure "distance" between the papers
+- The same for the authors/laboratories/organizations
+- 
 - Input: paper, output: ranked list of suggested reviewers
+    - find reviewers from our data base whose paper profile is semantically close to the paper in hand
+    - 
     - check list of the references in the paper and suggest reviewers considering the authors of referenced papers as candidates
         - for each referenced paper: rank authors -- students, phd-students, research advisors, who is the main author, qualification of the authors, etc
-- invite all the authors of all the referenced papers to give their opinion on the paper and check how their paper is referenced and explained in the paper
+- automatically invite all the authors of all the referenced papers to give their opinion on the paper and check how their paper is referenced and explained in the paper
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