Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: An empirical study for Vietnamese dependency parsing   This paper presents an empirical comparison of different dependency parsers
for Vietnamese, which has some unusual characteristics such as copula drop and
verb serialization. Experimental results show that the neural network-based
parsers perform significantly better than the traditional parsers. We report
the highest parsing scores published to date for Vietnamese with the labeled
attachment score (LAS) at 73.53% and the unlabeled attachment score (UAS) at
80.66%.

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The categories of this paper are: adap-org
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The categories of this paper are: patt-sol
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The categories of this paper are: hep-lat
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The categories of this paper are: acc-phys
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The categories of this paper are: physics
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The categories of this paper are: solv-int
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The categories of this paper are: hep-th
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The categories of this paper are: funct-an
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The categories of this paper are: cmp-lg
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The categories of this paper are: chao-dyn
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The categories of this paper are: chem-ph
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The categories of this paper are: q-bio
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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: astro-ph
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The categories of this paper are: econ