Papers by Yunita Sari
Topic or Style? Exploring the Most Useful Features for Authorship Attribution (C18-1)
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| Challenge: | Existing approaches to authorship attribution rely on individual's writing style and/or preferred topics. |
| Approach: | They analyse four widely used datasets to explore how different types of features affect authorship attribution accuracy under varying conditions. |
| Outcome: | The proposed model outperforms the state-of-the-art on two out of the four datasets used. |
AnnoHID: LLM-Assisted Annotation Framework for Low-Resource Medical Texts (2026.acl-demo)
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Annisa Maulida Ningtyas, Guntur Budi Herwanto, Yunita Sari, Rifki Afina Putri, Filip Kovacevic, Alaa El-Ebshihy, Varvara Arzt, Florina Piroi
| Challenge: | Social media platforms are a popular way to communicate with medical experts and improve health literacy. |
| Approach: | They introduce a semi-automated annotation framework for medical texts in low-resource languages . they use large language models for pre-annotation and human validation to support efficient annotation . |
| Outcome: | The proposed framework is applied to medical social media texts in Bahasa Indonesia . it yields higher inter-annotator agreement and human review improves output . future work focuses on mitigating pre-annotation bias and reducing annotation overhead . |