Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Similarity measure for Public Persons   For the webportal "Who is in the News!" with statistics about the appearence
of persons in written news we developed an extension, which measures the
relationship of public persons depending on a time parameter, as the
relationship may vary over time. On a training corpus of English and German
news articles we built a measure by extracting the persons occurrence in the
text via pretrained named entity extraction and then construct time series of
counts for each person. Pearson correlation over a sliding window is then used
to measure the relation of two persons.

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The categories of this paper are: gr-qc
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The categories of this paper are: acc-phys
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The categories of this paper are: nucl-th
2
The categories of this paper are: math
24
The categories of this paper are: dg-ga
30
The categories of this paper are: q-alg
36
The categories of this paper are: cmp-lg
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The categories of this paper are: patt-sol
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The categories of this paper are: stat
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The categories of this paper are: math-ph
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The categories of this paper are: hep-ph
31
The categories of this paper are: ao-sci
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The categories of this paper are: supr-con
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The categories of this paper are: chao-dyn
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The categories of this paper are: econ
33
The categories of this paper are: plasm-ph