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Found 2 papers, 1 papers with code
DFKI SLT at GermEval 2021: Multilingual Pre-training and Data Augmentation for the Classification of Toxicity in Social Media Comments
Finally, the combination of the two techniques allows us to obtain an F1 score of 0. 6899 with XLM- RoBERTa and 0. 6859 with MT5.
MuSeM: Detecting Incongruent News Headlines using Mutual Attentive Semantic Matching
On the other hand, more recent works that use headline guided attention to learn a headline derived contextual representation of the news body also result in convoluting overall representation due to the news body's lengthiness.
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