Papers by Julianne Agatha Tan

1 papers
Localization of Fake News Detection via Multitask Transfer Learning (2020.lrec-1)

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Challenge: Existing methods for detecting fake news require large labeled datasets and expert-curated corpora, which low-resource languages may not have.
Approach: They construct a benchmark dataset for fake news detection in Filipino using curated corpora and transfer learning techniques.
Outcome: The proposed method can achieve 91% accuracy on a fake news dataset, reducing error by 14% compared to established baselines.

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