Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: !Qu\'e maravilla! Multimodal Sarcasm Detection in Spanish: a Dataset and
  a Baseline   We construct the first ever multimodal sarcasm dataset for Spanish. The
audiovisual dataset consists of sarcasm annotated text that is aligned with
video and audio. The dataset represents two varieties of Spanish, a Latin
American variety and a Peninsular Spanish variety, which ensures a wider
dialectal coverage for this global language. We present several models for
sarcasm detection that will serve as baselines in the future research. Our
results show that results with text only (89%) are worse than when combining
text with audio (91.9%). Finally, the best results are obtained when combining
all the modalities: text, audio and video (93.1%).

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The categories of this paper are: hep-ex
22
The categories of this paper are: chao-dyn
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The categories of this paper are: nlin
0
The categories of this paper are: hep-ph
16
The categories of this paper are: stat
33
The categories of this paper are: plasm-ph
32
The categories of this paper are: atom-ph
17
The categories of this paper are: q-fin
19
The categories of this paper are: eess
5
The categories of this paper are: gr-qc
2
The categories of this paper are: math
23
The categories of this paper are: solv-int
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The categories of this paper are: ao-sci
15
The categories of this paper are: nucl-ex
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The categories of this paper are: bayes-an
27
The categories of this paper are: comp-gas