Bridging the domain gap in cross-lingual document classification

Stoyanov Veselin
Stoyanov Veselin
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Abstract:

The scarcity of labeled training data often prohibits the internationalization of NLP models to multiple languages. Recent developments in cross-lingual understanding (XLU) has made progress in this area, trying to bridge the language barrier using language universal representations. However, even if the language problem was resolved, m...More

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