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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
Building Low-Resource NER Models Using Non-Speaker Annotations—0
Memorisation versus Generalisation in Pre-trained Language ModelsCode0
ANEA: Distant Supervision for Low-Resource Named Entity RecognitionCode1
A Robust and Domain-Adaptive Approach for Low-Resource Named Entity RecognitionCode1
Improving Low-Resource Named Entity Recognition using Joint Sentence and Token Labeling—0
Building Low-Resource NER Models Using Non-Speaker Annotation—0
Soft Gazetteers for Low-Resource Named Entity RecognitionCode1
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
Training Compact Models for Low Resource Entity Tagging using Pre-trained Language Models—0
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