18 citations · 36 across the 3 of their papers we have counts for
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cs.CL2026
Analysing Self-Harm Representations in Language Models: a Cross-Architecture Study
Luis Espinosa-Anke, Carla Perez-Almendros
Self-harm content is particularly challenging to detect using NLP techniques, and is also a high-stakes task which requires the highest accuracy to enable timely intervention or fl…
cs.CL2020★ 18 cited
TweetEval: Unified Benchmark and Comparative Evaluation for Tweet Classification
Francesco Barbieri, Jose Camacho-Collados, Leonardo Neves +1
The experimental landscape in natural language processing for social media is too fragmented. Each year, new shared tasks and datasets are proposed, ranging from classics like sent…