Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: LSOIE: A Large-Scale Dataset for Supervised Open Information Extraction   Open Information Extraction (OIE) systems seek to compress the factual
propositions of a sentence into a series of n-ary tuples. These tuples are
useful for downstream tasks in natural language processing like knowledge base
creation, textual entailment, and natural language understanding. However,
current OIE datasets are limited in both size and diversity. We introduce a new
dataset by converting the QA-SRL 2.0 dataset to a large-scale OIE dataset
(LSOIE). Our LSOIE dataset is 20 times larger than the next largest
human-annotated OIE dataset. We construct and evaluate several benchmark OIE
models on LSOIE, providing baselines for future improvements on the task. Our
LSOIE data, models, and code are made publicly available

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The categories of this paper are: nucl-ex
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The categories of this paper are: cond-mat
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The categories of this paper are: eess
30
The categories of this paper are: q-alg
2
The categories of this paper are: math
34
The categories of this paper are: chem-ph
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The categories of this paper are: dg-ga
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The categories of this paper are: patt-sol
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The categories of this paper are: hep-th
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The categories of this paper are: quant-ph
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The categories of this paper are: atom-ph
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The categories of this paper are: bayes-an
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The categories of this paper are: nucl-th
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The categories of this paper are: mtrl-th
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The categories of this paper are: stat
31
The categories of this paper are: ao-sci