Papers by Shehel Yoosuf
Fine-Grained Propaganda Detection with Fine-Tuned BERT (D19-50)
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| Challenge: | The goal of the Fragment Level Classification task is to detect and classify textual segments that correspond to one of the 18 given propaganda techniques in a news articles dataset. |
| Approach: | They propose a model that performs word-level classification using a pre-trained language model to detect and classify propaganda fragments in a news article dataset. |
| Outcome: | The proposed model performs word-level classification using a popular pre-trained language model. |