Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: AD3: Attentive Deep Document Dater   Knowledge of the creation date of documents facilitates several tasks such as
summarization, event extraction, temporally focused information extraction etc.
Unfortunately, for most of the documents on the Web, the time-stamp metadata is
either missing or can't be trusted. Thus, predicting creation time from
document content itself is an important task. In this paper, we propose
Attentive Deep Document Dater (AD3), an attention-based neural document dating
system which utilizes both context and temporal information in documents in a
flexible and principled manner. We perform extensive experimentation on
multiple real-world datasets to demonstrate the effectiveness of AD3 over
neural and non-neural baselines.

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The categories of this paper are: alg-geom
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The categories of this paper are: chao-dyn
32
The categories of this paper are: atom-ph
2
The categories of this paper are: math
34
The categories of this paper are: chem-ph
25
The categories of this paper are: patt-sol
26
The categories of this paper are: bayes-an
5
The categories of this paper are: gr-qc
15
The categories of this paper are: nucl-ex
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The categories of this paper are: eess
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The categories of this paper are: quant-ph
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The categories of this paper are: nlin
30
The categories of this paper are: q-alg
33
The categories of this paper are: plasm-ph
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The categories of this paper are: q-fin
0
The categories of this paper are: hep-ph