Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: RetroGAN: A Cyclic Post-Specialization System for Improving
  Out-of-Knowledge and Rare Word Representations   Retrofitting is a technique used to move word vectors closer together or
further apart in their space to reflect their relationships in a Knowledge Base
(KB). However, retrofitting only works on concepts that are present in that KB.
RetroGAN uses a pair of Generative Adversarial Networks (GANs) to learn a
one-to-one mapping between concepts and their retrofitted counterparts. It
applies that mapping (post-specializes) to handle concepts that do not appear
in the original KB in a manner similar to how some natural language systems
handle out-of-vocabulary entries. We test our system on three word-similarity
benchmarks and a downstream sentence simplification task and achieve the state
of the art (CARD-660). Altogether, our results demonstrate our system's
effectiveness for out-of-knowledge and rare word generalization.

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The categories of this paper are: gr-qc
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The categories of this paper are: bayes-an
36
The categories of this paper are: cmp-lg
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The categories of this paper are: eess
2
The categories of this paper are: math
33
The categories of this paper are: plasm-ph
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The categories of this paper are: nlin
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The categories of this paper are: alg-geom
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The categories of this paper are: hep-th
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The categories of this paper are: cond-mat
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The categories of this paper are: econ
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The categories of this paper are: hep-lat
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The categories of this paper are: funct-an
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The categories of this paper are: nucl-th
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The categories of this paper are: supr-con
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The categories of this paper are: solv-int