Learning Cross-Lingual Sentence Representations via a Multi-task Dual-Encoder Model

meeting of the association for computational linguistics, 2019.

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Abstract:

Neural language models have been shown to achieve an impressive level of performance on a number of language processing tasks. The majority of these models, however, are limited to producing predictions for only English texts due to limited amounts of labeled data available in other languages. One potential method for overcoming this issu...More

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