Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: On the Contribution of Discourse Structure on Text Complexity Assessment   This paper investigates the influence of discourse features on text
complexity assessment. To do so, we created two data sets based on the Penn
Discourse Treebank and the Simple English Wikipedia corpora and compared the
influence of coherence, cohesion, surface, lexical and syntactic features to
assess text complexity.
  Results show that with both data sets coherence features are more correlated
to text complexity than the other types of features. In addition, feature
selection revealed that with both data sets the top most discriminating feature
is a coherence feature.

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The categories of this paper are: cmp-lg
3
The categories of this paper are: physics
26
The categories of this paper are: bayes-an
16
The categories of this paper are: stat
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The categories of this paper are: atom-ph
11
The categories of this paper are: hep-lat
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The categories of this paper are: q-fin
34
The categories of this paper are: chem-ph
13
The categories of this paper are: quant-ph
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The categories of this paper are: patt-sol
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The categories of this paper are: hep-ex
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The categories of this paper are: alg-geom
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The categories of this paper are: nucl-ex
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The categories of this paper are: math-ph
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The categories of this paper are: chao-dyn
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The categories of this paper are: plasm-ph