Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Neural models of factuality   We present two neural models for event factuality prediction, which yield
significant performance gains over previous models on three event factuality
datasets: FactBank, UW, and MEANTIME. We also present a substantial expansion
of the It Happened portion of the Universal Decompositional Semantics dataset,
yielding the largest event factuality dataset to date. We report model results
on this extended factuality dataset as well.

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The categories of this paper are: dg-ga
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The categories of this paper are: gr-qc
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The categories of this paper are: mtrl-th
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The categories of this paper are: supr-con
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The categories of this paper are: funct-an
0
The categories of this paper are: hep-ph
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The categories of this paper are: adap-org
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The categories of this paper are: hep-lat
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The categories of this paper are: chao-dyn
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The categories of this paper are: acc-phys
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The categories of this paper are: stat
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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: comp-gas
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The categories of this paper are: q-alg