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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 11–20 of 38 papers

TitleStatusHype
Data Augmentation for Low-Resource Named Entity Recognition Using BacktranslationCode0
Feature-Dependent Confusion Matrices for Low-Resource NER Labeling with Noisy LabelsCode0
Low-Resource Named Entity Recognition Based on Multi-hop Dependency TriggerCode0
Massively Multilingual Transfer for NERCode0
Towards Robust Named Entity Recognition for Historic GermanCode0
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
Training Compact Models for Low Resource Entity Tagging using Pre-trained Language Models—0
Converse Attention Knowledge Transfer for Low-Resource Named Entity Recognition—0
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