Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Citations are not opinions: a corpus linguistics approach to
  understanding how citations are made   Citation content analysis seeks to understand citations based on the language
used during the making of a citation. A key issue in citation content analysis
is looking for linguistic structures that characterize distinct classes of
citations for the purposes of understanding the intent and function of a
citation. Previous works have focused on modeling linguistic features first and
drawn conclusions on the language structures unique to each class of citation
function based on the performance of a classification task or inter-annotator
agreement. In this study, we start with a large sample of a pre-classified
citation corpus, 2 million citations from each class of the scite Smart
Citation dataset (supporting, disputing, and mentioning citations), and analyze
its corpus linguistics in order to reveal the unique and statistically
significant language structures belonging to each type of citation. By
generating comparison tables for each citation type we present a number of
interesting linguistic features that uniquely characterize citation type. What
we find is that within citation collocates, there is very low correlation
between citation type and sentiment. Additionally, we find that the
subjectivity of citation collocates across classes is very low. These findings
suggest that the sentiment of collocates is not a predictor of citation
function and that due to their low subjectivity, an opinion-expressing mode of
understanding citations, implicit in previous citation sentiment analysis
literature, is inappropriate. Instead, we suggest that citations can be better
understood as claims-making devices where the citation type can be explained by
understanding how two claims are being compared. By presenting this approach,
we hope to inspire similar corpus linguistic studies on citations that derive a
more robust theory of citation from an empirical basis using citation corpora

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The categories of this paper are: bayes-an
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The categories of this paper are: funct-an
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The categories of this paper are: comp-gas
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The categories of this paper are: hep-ph
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The categories of this paper are: quant-ph
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The categories of this paper are: eess
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The categories of this paper are: mtrl-th
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The categories of this paper are: nucl-ex
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The categories of this paper are: q-fin
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The categories of this paper are: math-ph
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The categories of this paper are: chem-ph
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The categories of this paper are: econ
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The categories of this paper are: adap-org
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The categories of this paper are: q-bio
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The categories of this paper are: math
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The categories of this paper are: gr-qc