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Found 4 papers, 2 papers with code
How Good is Your Wikipedia? Auditing Data Quality for Low-resource and Multilingual NLP
Wikipedia's perceived high quality and broad language coverage have established it as a fundamental resource in multilingual NLP.
Pixology: Probing the Linguistic and Visual Capabilities of Pixel-based Language Models
Pixel-based language models have emerged as a compelling alternative to subword-based language modelling, particularly because they can represent virtually any script.
Sociolinguistically Informed Interpretability: A Case Study on Hinglish Emotion Classification
Emotion classification is a challenging task in NLP due to the inherent idiosyncratic and subjective nature of linguistic expression, especially with code-mixed data.
CreoleVal: Multilingual Multitask Benchmarks for Creoles
Creoles represent an under-explored and marginalized group of languages, with few available resources for NLP research. While the genealogical ties between Creoles and a number of highly-resourced languages imply a significant potential for transfer learning, this potential is hampered due to this lack of annotated data.
