Search Results for author: Kushal Tatariya

Found 2 papers, 1 papers with code

Sociolinguistically Informed Interpretability: A Case Study on Hinglish Emotion Classification

no code implementations • 5 Feb 2024 • Kushal Tatariya, Heather Lent, Johannes Bjerva, Miryam de Lhoneux

Emotion classification is a challenging task in NLP due to the inherent idiosyncratic and subjective nature of linguistic expression, especially with code-mixed data.

Emotion Classification

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CreoleVal: Multilingual Multitask Benchmarks for Creoles

1 code implementation • 30 Oct 2023 • Heather Lent, Kushal Tatariya, Raj Dabre, Yiyi Chen, Marcell Fekete, Esther Ploeger, Li Zhou, Ruth-Ann Armstrong, Abee Eijansantos, Catriona Malau, Hans Erik Heje, Ernests Lavrinovics, Diptesh Kanojia, Paul Belony, Marcel Bollmann, Loïc Grobol, Miryam de Lhoneux, Daniel Hershcovich, Michel DeGraff, Anders Søgaard, Johannes Bjerva

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.

Machine Translation Reading Comprehension +2

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