Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: HUMAN: Hierarchical Universal Modular ANnotator   A lot of real-world phenomena are complex and cannot be captured by single
task annotations. This causes a need for subsequent annotations, with
interdependent questions and answers describing the nature of the subject at
hand. Even in the case a phenomenon is easily captured by a single task, the
high specialisation of most annotation tools can result in having to switch to
another tool if the task only slightly changes.
  We introduce HUMAN, a novel web-based annotation tool that addresses the
above problems by a) covering a variety of annotation tasks on both textual and
image data, and b) the usage of an internal deterministic state machine,
allowing the researcher to chain different annotation tasks in an
interdependent manner. Further, the modular nature of the tool makes it easy to
define new annotation tasks and integrate machine learning algorithms e.g., for
active learning. HUMAN comes with an easy-to-use graphical user interface that
simplifies the annotation task and management.

11
The categories of this paper are: hep-lat
33
The categories of this paper are: plasm-ph
21
The categories of this paper are: adap-org
2
The categories of this paper are: math
14
The categories of this paper are: math-ph
0
The categories of this paper are: hep-ph
32
The categories of this paper are: atom-ph
17
The categories of this paper are: q-fin
20
The categories of this paper are: acc-phys
3
The categories of this paper are: physics
35
The categories of this paper are: mtrl-th
10
The categories of this paper are: q-bio
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The categories of this paper are: dg-ga
30
The categories of this paper are: q-alg
25
The categories of this paper are: patt-sol
36
The categories of this paper are: cmp-lg