Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Unsupervised Data Extraction from Computer-generated Documents with
  Single Line Formatting   Processing large amounts of data is an essential problem of the big data era.
Most of the data exchange is done via direct communication (using APIs) and
well-structured file formats (JSON, XML, EDI, etc.), but a significant portion
of the data is transferred using arbitrary formatted computer-generated
documents (such as invoices, purchase orders, financial reports, etc.), which
require sophisticated processing and human intervention for data interpretation
and extraction. The currently available solutions, ranging from manual data
entry to low-level scripting and data extraction tools, are costly and require
human intervention. This paper describes the principle methodology for
unsupervised, fully automatic data extraction from a wide range of
computer-generated documents, assuming that their formatting reflects the
original structure of the data sources. The presented methodology falls into
the category of unsupervised machine learning and consists of the three main
parts: (1) - detecting repeating patterns of text formatting by employing the
relative feature space clustering and adaptive weighted feature score maps, (2)
- detecting hierarchical formatting structures via collapsing and noise
filtering procedure applied to the repeating formatting patterns and (3) -
automatic configuration of the interactive data extraction tool (SiMX
TextConverter) for fully automated processing.

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The categories of this paper are: math-ph
0
The categories of this paper are: hep-ph
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The categories of this paper are: hep-th
29
The categories of this paper are: funct-an
20
The categories of this paper are: acc-phys
35
The categories of this paper are: mtrl-th
21
The categories of this paper are: adap-org
33
The categories of this paper are: plasm-ph
2
The categories of this paper are: math
32
The categories of this paper are: atom-ph
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The categories of this paper are: nucl-th
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The categories of this paper are: comp-gas
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The categories of this paper are: cond-mat
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The categories of this paper are: chao-dyn
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The categories of this paper are: nlin
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The categories of this paper are: dg-ga