Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Describing Papers and Reviewers' Competences by Taxonomy of Keywords   This article focuses on the importance of the precise calculation of
similarity factors between papers and reviewers for performing a fair and
accurate automatic assignment of reviewers to papers. It suggests that papers
and reviewers' competences should be described by taxonomy of keywords so that
the implied hierarchical structure allows similarity measures to take into
account not only the number of exactly matching keywords, but in case of
non-matching ones to calculate how semantically close they are. The paper also
suggests a similarity measure derived from the well-known and widely-used
Dice's coefficient, but adapted in a way it could be also applied between sets
whose elements are semantically related to each other (as concepts in taxonomy
are). It allows a non-zero similarity factor to be accurately calculated
between a paper and a reviewer even if they do not share any keyword in common.

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The categories of this paper are: hep-ph
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The categories of this paper are: hep-ex
25
The categories of this paper are: patt-sol
14
The categories of this paper are: math-ph
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The categories of this paper are: q-bio
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The categories of this paper are: econ
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The categories of this paper are: nucl-ex
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The categories of this paper are: eess
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The categories of this paper are: physics
34
The categories of this paper are: chem-ph
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The categories of this paper are: alg-geom
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The categories of this paper are: solv-int
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The categories of this paper are: math
12
The categories of this paper are: nucl-th
30
The categories of this paper are: q-alg
35
The categories of this paper are: mtrl-th