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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 31–38 of 38 papers

TitleStatusHype
Training Compact Models for Low Resource Entity Tagging using Pre-trained Language Models—0
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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