Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Proof Mining with Dependent Types   Several approaches exist to data-mining big corpora of formal proofs. Some of
these approaches are based on statistical machine learning, and some -- on
theory exploration. However, most are developed for either untyped or
simply-typed theorem provers. In this paper, we present a method that combines
statistical data mining and theory exploration in order to analyse and automate
proofs in dependently typed language of Coq.

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The categories of this paper are: adap-org
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The categories of this paper are: alg-geom
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The categories of this paper are: bayes-an
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The categories of this paper are: funct-an
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The categories of this paper are: chem-ph
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The categories of this paper are: patt-sol
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The categories of this paper are: econ
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The categories of this paper are: math-ph
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The categories of this paper are: hep-th
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The categories of this paper are: q-bio
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The categories of this paper are: physics
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The categories of this paper are: nlin
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The categories of this paper are: dg-ga
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The categories of this paper are: chao-dyn
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The categories of this paper are: plasm-ph
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The categories of this paper are: q-fin