Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: DocStruct: A Multimodal Method to Extract Hierarchy Structure in
  Document for General Form Understanding   Form understanding depends on both textual contents and organizational
structure. Although modern OCR performs well, it is still challenging to
realize general form understanding because forms are commonly used and of
various formats. The table detection and handcrafted features in previous works
cannot apply to all forms because of their requirements on formats. Therefore,
we concentrate on the most elementary components, the key-value pairs, and
adopt multimodal methods to extract features. We consider the form structure as
a tree-like or graph-like hierarchy of text fragments. The parent-child
relation corresponds to the key-value pairs in forms. We utilize the
state-of-the-art models and design targeted extraction modules to extract
multimodal features from semantic contents, layout information, and visual
images. A hybrid fusion method of concatenation and feature shifting is
designed to fuse the heterogeneous features and provide an informative joint
representation. We adopt an asymmetric algorithm and negative sampling in our
model as well. We validate our method on two benchmarks, MedForm and FUNSD, and
extensive experiments demonstrate the effectiveness of our method.

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The categories of this paper are: math
10
The categories of this paper are: q-bio
9
The categories of this paper are: nlin
20
The categories of this paper are: acc-phys
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The categories of this paper are: hep-th
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The categories of this paper are: cond-mat
23
The categories of this paper are: solv-int
31
The categories of this paper are: ao-sci
28
The categories of this paper are: alg-geom
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The categories of this paper are: quant-ph
30
The categories of this paper are: q-alg
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The categories of this paper are: econ
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The categories of this paper are: nucl-ex
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The categories of this paper are: adap-org
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The categories of this paper are: supr-con
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The categories of this paper are: stat