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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 1–38 of 38 papers

TitleStatusHype
Low-Resource Named Entity Recognition with Cross-Lingual, Character-Level Neural Conditional Random Fields—0
Low-Resource Named Entity Recognition: Can One-vs-All AUC Maximization Help?—0
GoLLIE: Annotation Guidelines improve Zero-Shot Information-ExtractionCode2
RoPDA: Robust Prompt-based Data Augmentation for Low-Resource Named Entity Recognition—0
Translation and Fusion Improves Zero-shot Cross-lingual Information ExtractionCode0
AUC Maximization for Low-Resource Named Entity Recognition—0
Prompt-based Text Entailment for Low-Resource Named Entity Recognition—0
SEE-Few: Seed, Expand and Entail for Few-shot Named Entity RecognitionCode1
SFE-AI at SemEval-2022 Task 11: Low-Resource Named Entity Recognition using Large Pre-trained Language Models—0
A Comparative Study of Pre-trained Encoders for Low-Resource Named Entity RecognitionCode1
Using Domain Knowledge for Low Resource Named Entity Recognition—0
InstructionNER: A Multi-Task Instruction-Based Generative Framework for Few-shot NERCode1
A Comparative Study of Pre-trained Encoders for Low-Resource Named Entity Recognition—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 Based on Multi-hop Dependency TriggerCode0
AutoTriggER: Label-Efficient and Robust Named Entity Recognition with Auxiliary Trigger Extraction—0
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
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
Feature-Dependent Confusion Matrices for Low-Resource NER Labeling with Noisy LabelsCode0
Dual Adversarial Neural Transfer for Low-Resource Named Entity Recognition—0
Towards Robust Named Entity Recognition for Historic GermanCode0
Converse Attention Knowledge Transfer for Low-Resource Named Entity Recognition—0
DATNet: Dual Adversarial Transfer for Low-resource Named Entity Recognition—0
Massively Multilingual Transfer for NERCode0
Low-resource named entity recognition via multi-source projection: Not quite there yet?—0
Bayesian Modeling of Lexical Resources for Low-Resource Settings—0
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