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Found 2 papers, 1 papers with code
Analysis of Zero-Shot Crosslingual Learning between English and Korean for Named Entity Recognition
This paper presents a English-Korean parallel dataset that collects 381K news articles where 1, 400 of them, comprising 10K sentences, are manually labeled for crosslingual named entity recognition (NER).
Papago’s Submission for the WMT21 Quality Estimation Shared Task
Our multilingual Quality Estimation system explores the combination of Pretrained Language Models and Multi-task Learning architectures.
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