Papers with averaged accuracy improvement

1 papers
Unicoder: A Universal Language Encoder by Pre-training with Multiple Cross-lingual Tasks (D19-1)

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Challenge: Existing models that can handle cross-lingual tasks with limited or no training data are insensitive to different languages.
Approach: They propose to use Unicoder to train models in one language and apply it to other languages.
Outcome: Experiments show that Unicoder learns the mappings among different languages from more perspectives.

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