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cs.CL2026
SemEval-2026 Task 9: Detecting Multilingual, Multicultural and Multievent Online Polarization
Usman Naseem, Robert Geislinger, Juan Ren +31
We present SemEval-2026 Task 9, a shared task on online polarization detection, covering 22 languages and comprising over 110K annotated instances. Each data instance is multi-labe…
cs.CL2024
To Label or Not to Label: Hybrid Active Learning for Neural Machine Translation
Abdul Hameed Azeemi, Ihsan Ayyub Qazi, Agha Ali Raza
Active learning (AL) techniques reduce labeling costs for training neural machine translation (NMT) models by selecting smaller representative subsets from unlabeled data for annot…