Papers with low-resource English variants

1 papers
Do “English” Named Entity Recognizers Work Well on Global Englishes? (2023.findings-emnlp)

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Challenge: Most of English named entity recognition datasets contain American or British English data . multiple problems may occur in low-resource English contexts, such as confusion of named entities with regionspecific meanings .
Approach: They build a newswire dataset to analyze NER model performance on low-resource English variants . they find that models trained on the CoNLL or OntoNotes datasets experienced significant performance drops .
Outcome: The results show that models trained on the CoNLL or OntoNotes datasets experienced significant performance drops.

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