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Low Resource Named Entity Recognition

Low resource named entity recognition is the task of using data and models available for one language for which ample such resources are available (e.g., English) to solve named entity recognition tasks in another, commonly more low-resource, language.

Papers

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Showing 21–30 of 38 papers

TitleStatusHype
Improving Low-Resource Named Entity Recognition using Joint Sentence and Token Labeling—0
Improving Low-Resource Named Entity Recognition via Label-Aware Data Augmentation and Curriculum Denoising—0
AutoTriggER: Named Entity Recognition with Auxiliary Trigger Extraction—0
Unsupervised Paraphrasing Consistency Training for Low Resource Named Entity Recognition—0
Low-Resource Named Entity Recognition: Can One-vs-All AUC Maximization Help?—0
Low-resource named entity recognition via multi-source projection: Not quite there yet?—0
Low-Resource Named Entity Recognition with Cross-Lingual, Character-Level Neural Conditional Random Fields—0
Using Domain Knowledge for Low Resource Named Entity Recognition—0
Prompt-based Text Entailment for Low-Resource Named Entity Recognition—0
RoPDA: Robust Prompt-based Data Augmentation for Low-Resource Named Entity Recognition—0
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