Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Atalaya at TASS 2019: Data Augmentation and Robust Embeddings for
  Sentiment Analysis   In this article we describe our participation in TASS 2019, a shared task
aimed at the detection of sentiment polarity of Spanish tweets. We combined
different representations such as bag-of-words, bag-of-characters, and tweet
embeddings. In particular, we trained robust subword-aware word embeddings and
computed tweet representations using a weighted-averaging strategy. We also
used two data augmentation techniques to deal with data scarcity: two-way
translation augmentation, and instance crossover augmentation, a novel
technique that generates new instances by combining halves of tweets. In
experiments, we trained linear classifiers and ensemble models, obtaining
highly competitive results despite the simplicity of our approaches.

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The categories of this paper are: funct-an
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The categories of this paper are: mtrl-th
2
The categories of this paper are: math
27
The categories of this paper are: comp-gas
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The categories of this paper are: nucl-th
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The categories of this paper are: dg-ga
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The categories of this paper are: atom-ph
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The categories of this paper are: econ
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The categories of this paper are: solv-int
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The categories of this paper are: ao-sci
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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: bayes-an
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The categories of this paper are: alg-geom
3
The categories of this paper are: physics
8
The categories of this paper are: hep-ex