Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A Computational Model to Disentangle Semantic Information Embedded in
  Word Association Norms   Two well-known databases of semantic relationships between pairs of words
used in psycholinguistics, feature-based and association-based, are studied as
complex networks. We propose an algorithm to disentangle feature based
relationships from free association semantic networks. The algorithm uses the
rich topology of the free association semantic network to produce a new set of
relationships between words similar to those observed in feature production
norms.

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The categories of this paper are: stat
27
The categories of this paper are: comp-gas
0
The categories of this paper are: hep-ph
28
The categories of this paper are: alg-geom
26
The categories of this paper are: bayes-an
18
The categories of this paper are: econ
31
The categories of this paper are: ao-sci
17
The categories of this paper are: q-fin
2
The categories of this paper are: math
37
The categories of this paper are: supr-con
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The categories of this paper are: nlin
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The categories of this paper are: solv-int
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The categories of this paper are: plasm-ph
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The categories of this paper are: hep-th
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The categories of this paper are: acc-phys
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The categories of this paper are: astro-ph