Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A Comparison of Neural Models for Word Ordering   We compare several language models for the word-ordering task and propose a
new bag-to-sequence neural model based on attention-based sequence-to-sequence
models. We evaluate the model on a large German WMT data set where it
significantly outperforms existing models. We also describe a novel search
strategy for LM-based word ordering and report results on the English Penn
Treebank. Our best model setup outperforms prior work both in terms of speed
and quality.

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The categories of this paper are: solv-int
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The categories of this paper are: alg-geom
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The categories of this paper are: q-alg
35
The categories of this paper are: mtrl-th
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The categories of this paper are: bayes-an
6
The categories of this paper are: astro-ph
14
The categories of this paper are: math-ph
0
The categories of this paper are: hep-ph
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The categories of this paper are: hep-th
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The categories of this paper are: dg-ga
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The categories of this paper are: chao-dyn
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The categories of this paper are: cond-mat
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The categories of this paper are: nucl-ex
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The categories of this paper are: cmp-lg
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The categories of this paper are: q-bio
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The categories of this paper are: nlin