Yor-Sarc: A gold-standard dataset for sarcasm detection in a low-resource African language

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Ali Nemati
5 days ago28 sec read11 views

Researchers introduced Yor-Sarc, a new dataset for detecting sarcasm in Yoruba, a language spoken by over 50 million people. This gold-standard dataset, annotated by native speakers and validated through high inter-annotator agreement, aims to advance computational semantics research and culturally informed NLP models in low-resource languages. Content creators should recognize the importance of cultural context and community guidelines when developing AI tools for diverse linguistic communities.

Read the full article at arXiv cs.CL (NLP)


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Ali NematiWritten by Ali
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