Papers with low-resource English variants
Do “English” Named Entity Recognizers Work Well on Global Englishes? (2023.findings-emnlp)
Copied to clipboard
| 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. |