Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: From Standard Summarization to New Tasks and Beyond: Summarization with
  Manifold Information   Text summarization is the research area aiming at creating a short and
condensed version of the original document, which conveys the main idea of the
document in a few words. This research topic has started to attract the
attention of a large community of researchers, and it is nowadays counted as
one of the most promising research areas. In general, text summarization
algorithms aim at using a plain text document as input and then output a
summary. However, in real-world applications, most of the data is not in a
plain text format. Instead, there is much manifold information to be
summarized, such as the summary for a web page based on a query in the search
engine, extreme long document (e.g., academic paper), dialog history and so on.
In this paper, we focus on the survey of these new summarization tasks and
approaches in the real-world application.

2
The categories of this paper are: math
10
The categories of this paper are: q-bio
20
The categories of this paper are: acc-phys
21
The categories of this paper are: adap-org
28
The categories of this paper are: alg-geom
23
The categories of this paper are: solv-int
11
The categories of this paper are: hep-lat
32
The categories of this paper are: atom-ph
12
The categories of this paper are: nucl-th
34
The categories of this paper are: chem-ph
24
The categories of this paper are: dg-ga
35
The categories of this paper are: mtrl-th
30
The categories of this paper are: q-alg
36
The categories of this paper are: cmp-lg
3
The categories of this paper are: physics
0
The categories of this paper are: hep-ph