Papers by Alexander Chernyavskiy

1 papers
Unleashing the Power of Discourse-Enhanced Transformers for Propaganda Detection (2024.eacl-long)

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Challenge: Existing systems focused on the surface words, ignoring the linguistic structure of the texts.
Approach: They propose to use discourse analysis to analyze paragraph-level and token-level classifications and propose a Transformer architecture that can be used to detect propaganda.
Outcome: The proposed system improves on English and Russian texts and shows strong correlations between propaganda instances and discourse spans.

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