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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
Data Augmentation for Low-Resource Named Entity Recognition Using BacktranslationCode0
Constrained Labeled Data Generation for Low-Resource Named Entity Recognition—0
Improving Low-Resource Named Entity Recognition via Label-Aware Data Augmentation and Curriculum Denoising—0
Building Low-Resource NER Models Using Non-Speaker Annotations—0
Memorisation versus Generalisation in Pre-trained Language ModelsCode0
Improving Low-Resource Named Entity Recognition using Joint Sentence and Token Labeling—0
Building Low-Resource NER Models Using Non-Speaker Annotation—0
Distant Supervision and Noisy Label Learning for Low Resource Named Entity Recognition: A Study on Hausa and Yorùbá—0
Zero-Resource Cross-Lingual Named Entity RecognitionCode0
Feature-Dependent Confusion Matrices for Low-Resource NER Labeling with Noisy LabelsCode0
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