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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 1–25 of 38 papers

TitleStatusHype
GoLLIE: Annotation Guidelines improve Zero-Shot Information-ExtractionCode2
ANEA: Distant Supervision for Low-Resource Named Entity RecognitionCode1
InstructionNER: A Multi-Task Instruction-Based Generative Framework for Few-shot NERCode1
A Comparative Study of Pre-trained Encoders 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
Soft Gazetteers for Low-Resource Named Entity RecognitionCode1
Building Low-Resource NER Models Using Non-Speaker Annotations—0
Constrained Labeled Data Generation for Low-Resource Named Entity Recognition—0
DATNet: Dual Adversarial Transfer for Low-resource Named Entity Recognition—0
Distant Supervision and Noisy Label Learning for Low Resource Named Entity Recognition: A Study on Hausa and Yorùbá—0
Dual Adversarial Neural Transfer for Low-Resource Named Entity Recognition—0
A Comparative Study of Pre-trained Encoders for Low-Resource Named Entity Recognition—0
AUC Maximization for Low-Resource Named Entity Recognition—0
AutoTriggER: Label-Efficient and Robust Named Entity Recognition with Auxiliary Trigger Extraction—0
AutoTriggER: Named Entity Recognition with Auxiliary Trigger Extraction—0
Converse Attention Knowledge Transfer for Low-Resource Named Entity Recognition—0
Bayesian Modeling of Lexical Resources for Low-Resource Settings—0
Building Low-Resource NER Models Using Non-Speaker Annotation—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
Prompt-based Text Entailment for Low-Resource Named Entity Recognition—0
RoPDA: Robust Prompt-based Data Augmentation for Low-Resource Named Entity Recognition—0
SFE-AI at SemEval-2022 Task 11: Low-Resource Named Entity Recognition using Large Pre-trained Language Models—0
Training Compact Models for Low Resource Entity Tagging using Pre-trained Language Models—0
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