SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 31–38 of 38 papers

TitleStatusHype
Feature-Dependent Confusion Matrices for Low-Resource NER Labeling with Noisy LabelsCode0
Massively Multilingual Transfer for NERCode0
Memorisation versus Generalisation in Pre-trained Language ModelsCode0
Data Augmentation for Low-Resource Named Entity Recognition Using BacktranslationCode0
Low-Resource Named Entity Recognition Based on Multi-hop Dependency TriggerCode0
Towards Robust Named Entity Recognition for Historic GermanCode0
Translation and Fusion Improves Zero-shot Cross-lingual Information ExtractionCode0
Zero-Resource Cross-Lingual Named Entity RecognitionCode0
Show:102550
← PrevPage 4 of 4Next →

No leaderboard results yet.