alabnii/sciclaimeval-shared-task huggingface dataset:
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\textbf{Model} & \textbf{Stance} & \textbf{Hate Speech} & \textbf{Emotion} \\
\midrule
\textit{Binary classes} \\
mBERT$_\text{Base}$ & 70.27 & 69.11 & 58.96 \\
$+$ EN Lex.\ & \textbf{73.25} & \textbf{71.35} & \textbf{75.89} \\
\midrule
\textit{Original classes} \\
mBERT$_\text{Base}$ & 52.55 & 56.36 & 18.44 \\
$+$ EN Lex.\ & \textbf{53.04} & \textbf{57.59} & \textbf{23.93} \\
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\caption{Table 6: Lexicon-based pretraining performance (macro-F1) over stance detection, hate speech detection, and emotion classification. The results are based on the limited training data scenario.}
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