Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Implicit Sensitive Text Summarization based on Data Conveyed by
  Connectives   So far and trying to reach human capabilities, research in automatic
summarization has been based on hypothesis that are both enabling and limiting.
Some of these limitations are: how to take into account and reflect (in the
generated summary) the implicit information conveyed in the text, the author
intention, the reader intention, the context influence, the general world
knowledge. Thus, if we want machines to mimic human abilities, then they will
need access to this same large variety of knowledge. The implicit is affecting
the orientation and the argumentation of the text and consequently its summary.
Most of Text Summarizers (TS) are processing as compressing the initial data
and they necessarily suffer from information loss. TS are focusing on features
of the text only, not on what the author intended or why the reader is reading
the text. In this paper, we address this problem and we present a system
focusing on acquiring knowledge that is implicit. We principally spotlight the
implicit information conveyed by the argumentative connectives such as: but,
even, yet and their effect on the summary.

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The categories of this paper are: math-ph
35
The categories of this paper are: mtrl-th
29
The categories of this paper are: funct-an
7
The categories of this paper are: hep-th
13
The categories of this paper are: quant-ph
31
The categories of this paper are: ao-sci
26
The categories of this paper are: bayes-an
11
The categories of this paper are: hep-lat
25
The categories of this paper are: patt-sol
4
The categories of this paper are: cond-mat
37
The categories of this paper are: supr-con
20
The categories of this paper are: acc-phys
34
The categories of this paper are: chem-ph
3
The categories of this paper are: physics
6
The categories of this paper are: astro-ph
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The categories of this paper are: atom-ph