Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Using Information Content to Evaluate Semantic Similarity in a Taxonomy   This paper presents a new measure of semantic similarity in an IS-A taxonomy,
based on the notion of information content. Experimental evaluation suggests
that the measure performs encouragingly well (a correlation of r = 0.79 with a
benchmark set of human similarity judgments, with an upper bound of r = 0.90
for human subjects performing the same task), and significantly better than the
traditional edge counting approach (r = 0.66).

27
The categories of this paper are: comp-gas
37
The categories of this paper are: supr-con
4
The categories of this paper are: cond-mat
21
The categories of this paper are: adap-org
2
The categories of this paper are: math
3
The categories of this paper are: physics
19
The categories of this paper are: eess
5
The categories of this paper are: gr-qc
6
The categories of this paper are: astro-ph
26
The categories of this paper are: bayes-an
7
The categories of this paper are: hep-th
25
The categories of this paper are: patt-sol
31
The categories of this paper are: ao-sci
30
The categories of this paper are: q-alg
17
The categories of this paper are: q-fin
34
The categories of this paper are: chem-ph