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New Sindhi figurative language dataset SiNFluD released with XLM-RoBERTa-XL benchmark

By PulseAugur Editorial · [1 sources] ·

Researchers have developed SiNFluD, a new dataset for classifying figurative language in Sindhi. The dataset was compiled from various online sources and annotated by native speakers, achieving a high inter-annotator agreement. Several models, including mBERT, XLM-RoBERTa, and SetFit, were evaluated, with XLM-RoBERTa-XL demonstrating the best performance. AI

IMPACT Introduces a new benchmark dataset for figurative language classification in Sindhi, enabling further research and model development for low-resource languages.

RANK_REASON This is a research paper introducing a new dataset and evaluating models. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New Sindhi figurative language dataset SiNFluD released with XLM-RoBERTa-XL benchmark

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This is a research paper introducing a new dataset and evaluating models. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CL TIER_1 English(EN) · Wazir Ali, Adeeb Noor, Saifullah Tumrani ·

    Creating and Evaluating Figurative Language Dataset for Sindhi

    arXiv:2605.01323v1 Announce Type: new Abstract: In this article, we introduce SiNFluD, a novel benchmark dataset for Sindhi figurative language classification. We first collect raw text from various blogs, social media platforms, and literary sources, and subsequently prepare the…

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