Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Unifying Discourse Resources with Dependency Framework   For text-level discourse analysis, there are various discourse schemes but
relatively few labeled data, because discourse research is still immature and
it is labor-intensive to annotate the inner logic of a text. In this paper, we
attempt to unify multiple Chinese discourse corpora under different annotation
schemes with discourse dependency framework by designing semi-automatic methods
to convert them into dependency structures. We also implement several benchmark
dependency parsers and research on how they can leverage the unified data to
improve performance.

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The categories of this paper are: hep-lat
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The categories of this paper are: nlin
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The categories of this paper are: quant-ph
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The categories of this paper are: math-ph
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The categories of this paper are: nucl-th
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The categories of this paper are: mtrl-th
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The categories of this paper are: q-fin
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The categories of this paper are: q-alg
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The categories of this paper are: math
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The categories of this paper are: nucl-ex
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The categories of this paper are: supr-con
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The categories of this paper are: hep-ex
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The categories of this paper are: gr-qc
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The categories of this paper are: astro-ph
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The categories of this paper are: comp-gas
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The categories of this paper are: patt-sol