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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 1–10 of 38 papers

TitleStatusHype
GoLLIE: Annotation Guidelines improve Zero-Shot Information-ExtractionCode2
InstructionNER: A Multi-Task Instruction-Based Generative Framework for Few-shot NERCode1
Soft Gazetteers for Low-Resource Named Entity RecognitionCode1
A Comparative Study of Pre-trained Encoders for Low-Resource Named Entity RecognitionCode1
ANEA: Distant Supervision for Low-Resource Named Entity RecognitionCode1
SEE-Few: Seed, Expand and Entail for Few-shot Named Entity RecognitionCode1
A Robust and Domain-Adaptive Approach for Low-Resource Named Entity RecognitionCode1
Memorisation versus Generalisation in Pre-trained Language ModelsCode0
Translation and Fusion Improves Zero-shot Cross-lingual Information ExtractionCode0
Data Augmentation for Low-Resource Named Entity Recognition Using BacktranslationCode0
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