Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A BERT Baseline for the Natural Questions   This technical note describes a new baseline for the Natural Questions. Our
model is based on BERT and reduces the gap between the model F1 scores reported
in the original dataset paper and the human upper bound by 30% and 50% relative
for the long and short answer tasks respectively. This baseline has been
submitted to the official NQ leaderboard at
ai.google.com/research/NaturalQuestions. Code, preprocessed data and pretrained
model are available at
https://github.com/google-research/language/tree/master/language/question_answering/bert_joint.

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The categories of this paper are: chao-dyn
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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: adap-org
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The categories of this paper are: astro-ph
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The categories of this paper are: eess
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The categories of this paper are: atom-ph
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The categories of this paper are: q-alg
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The categories of this paper are: mtrl-th
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The categories of this paper are: physics
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The categories of this paper are: plasm-ph
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The categories of this paper are: ao-sci
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The categories of this paper are: econ
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The categories of this paper are: bayes-an
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The categories of this paper are: cmp-lg
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The categories of this paper are: q-bio