Papers with entity-aware regularization

1 papers
DualNER: A Dual-Teaching framework for Zero-shot Cross-lingual Named Entity Recognition (2022.findings-emnlp)

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Challenge: Existing approaches to named entity recognition (NER) are limited to high-resource languages like English and Chinese.
Approach: They propose a framework to make full use of annotated source and unlabeled target language text for zero-shot cross-lingual named entity recognition.
Outcome: The proposed framework makes full use of both annotated source and unlabeled target language text for zero-shot cross-lingual named entity recognition (NER).

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