Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Parsing Natural Language Sentences by Semi-supervised Methods   We present our work on semi-supervised parsing of natural language sentences,
focusing on multi-source crosslingual transfer of delexicalized dependency
parsers. We first evaluate the influence of treebank annotation styles on
parsing performance, focusing on adposition attachment style. Then, we present
KLcpos3, an empirical language similarity measure, designed and tuned for
source parser weighting in multi-source delexicalized parser transfer. And
finally, we introduce a novel resource combination method, based on
interpolation of trained parser models.

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The categories of this paper are: nucl-th
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The categories of this paper are: dg-ga
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The categories of this paper are: plasm-ph
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The categories of this paper are: solv-int
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The categories of this paper are: astro-ph
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The categories of this paper are: patt-sol
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The categories of this paper are: math
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The categories of this paper are: quant-ph
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The categories of this paper are: mtrl-th
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The categories of this paper are: acc-phys
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The categories of this paper are: stat
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The categories of this paper are: nlin
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The categories of this paper are: q-bio
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The categories of this paper are: math-ph
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The categories of this paper are: nucl-ex
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The categories of this paper are: chao-dyn