Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: An Empirical Study on Neural Keyphrase Generation   Recent years have seen a flourishing of neural keyphrase generation (KPG)
works, including the release of several large-scale datasets and a host of new
models to tackle them. Model performance on KPG tasks has increased
significantly with evolving deep learning research. However, there lacks a
comprehensive comparison among different model designs, and a thorough
investigation on related factors that may affect a KPG system's generalization
performance. In this empirical study, we aim to fill this gap by providing
extensive experimental results and analyzing the most crucial factors impacting
the generalizability of KPG models. We hope this study can help clarify some of
the uncertainties surrounding the KPG task and facilitate future research on
this topic.

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The categories of this paper are: chem-ph
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The categories of this paper are: eess
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The categories of this paper are: acc-phys
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The categories of this paper are: supr-con
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The categories of this paper are: atom-ph
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The categories of this paper are: math
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The categories of this paper are: hep-lat
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The categories of this paper are: comp-gas
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The categories of this paper are: nlin
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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: nucl-th
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The categories of this paper are: astro-ph
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The categories of this paper are: physics
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The categories of this paper are: q-fin
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The categories of this paper are: math-ph