Papers with neural tagging models

1 papers
Universal Semantic Tagging for English and Mandarin Chinese (2021.naacl-main)

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Challenge: Existing approaches to generating semantic annotations for different languages are attracting more and more interest.
Approach: They propose to extend Universal Semantic Tagging to Mandarin Chinese and evaluate its performance.
Outcome: The proposed scheme is only tested in four Indo–European languages . accuracies are 92.7% and 94.6% for Chinese and English respectively .

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