Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Determining the Unithood of Word Sequences using a Probabilistic
  Approach   Most research related to unithood were conducted as part of a larger effort
for the determination of termhood. Consequently, novelties are rare in this
small sub-field of term extraction. In addition, existing work were mostly
empirically motivated and derived. We propose a new probabilistically-derived
measure, independent of any influences of termhood, that provides dedicated
measures to gather linguistic evidence from parsed text and statistical
evidence from Google search engine for the measurement of unithood. Our
comparative study using 1,825 test cases against an existing
empirically-derived function revealed an improvement in terms of precision,
recall and accuracy.

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The categories of this paper are: gr-qc
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The categories of this paper are: supr-con
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The categories of this paper are: cond-mat
26
The categories of this paper are: bayes-an
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The categories of this paper are: chem-ph
3
The categories of this paper are: physics
16
The categories of this paper are: stat
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The categories of this paper are: q-fin
35
The categories of this paper are: mtrl-th
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The categories of this paper are: alg-geom
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The categories of this paper are: atom-ph
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The categories of this paper are: q-bio
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The categories of this paper are: chao-dyn
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The categories of this paper are: dg-ga
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The categories of this paper are: acc-phys
27
The categories of this paper are: comp-gas