Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: OPAD: An Optimized Policy-based Active Learning Framework for Document
  Content Analysis   Documents are central to many business systems, and include forms, reports,
contracts, invoices or purchase orders. The information in documents is
typically in natural language, but can be organized in various layouts and
formats. There have been recent spurt of interest in understanding document
content with novel deep learning architectures. However, document understanding
tasks need dense information annotations, which are costly to scale and
generalize. Several active learning techniques have been proposed to reduce the
overall budget of annotation while maintaining the performance of the
underlying deep learning model. However, most of these techniques work only for
classification problems. But content detection is a more complex task, and has
been scarcely explored in active learning literature. In this paper, we propose
\textit{OPAD}, a novel framework using reinforcement policy for active learning
in content detection tasks for documents. The proposed framework learns the
acquisition function to decide the samples to be selected while optimizing
performance metrics that the tasks typically have. Furthermore, we extend to
weak labelling scenarios to further reduce the cost of annotation
significantly. We propose novel rewards to account for class imbalance and user
feedback in the annotation interface, to improve the active learning method. We
show superior performance of the proposed \textit{OPAD} framework for active
learning for various tasks related to document understanding like layout
parsing, object detection and named entity recognition. Ablation studies for
human feedback and class imbalance rewards are presented, along with a
comparison of annotation times for different approaches.

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The categories of this paper are: atom-ph
17
The categories of this paper are: q-fin
3
The categories of this paper are: physics
9
The categories of this paper are: nlin
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The categories of this paper are: comp-gas
10
The categories of this paper are: q-bio
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The categories of this paper are: eess
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The categories of this paper are: chem-ph
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The categories of this paper are: acc-phys
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The categories of this paper are: quant-ph
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The categories of this paper are: bayes-an
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The categories of this paper are: hep-lat
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The categories of this paper are: nucl-th
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The categories of this paper are: ao-sci
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The categories of this paper are: alg-geom
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The categories of this paper are: funct-an