New corpus targets implicit meaning in Bangla-English code-mixed text

Researchers have introduced MixSarc, a new corpus designed to improve implicit meaning identification in Bangla-English code-mixed text. This dataset, containing 9,087 manually annotated sentences, addresses the scarcity of resources for languages that blend Bangla and English, which are common on South Asian social media. The corpus is intended to aid in the development of more reliable models for detecting humor, sarcasm, offensiveness, and vulgarity in such mixed-language contexts. AI

IMPACT This dataset could enable more accurate NLP models for code-mixed languages, improving understanding of nuanced communication on social media.

RANK_REASON The cluster describes a new academic paper introducing a dataset for NLP research. [lever_c_demoted from research: ic=1 ai=1.0]

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• Ajwad Abrar
• arXiv
• Bangla
• English
• Hugging Face
• MixSarc

• paper
• other

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