Papers by Şaziye Betül Özateş
Automated Screening of Antibacterial Nanoparticle Literature: Dataset Curation and Model Evaluation (2026.eacl-long)
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Alperen Ozturk, Şaziye Betül Özateş, Sophia Bahar Root, Angela Violi, Nicholas Kotov, J. Scott VanEpps, Emine Sumeyra Turali Emre
| Challenge: | Antimicrobial resistance is a growing global health threat, driving interest in nanoparticle-based alternatives to conventional antibiotics. |
| Approach: | They propose to use machine learning to classify scientific abstracts using inorganic nanoparticles with intrinsic antibacterial properties. |
| Outcome: | The proposed method distinguishes intrinsic antibacterial NPs from studies focusing on drug carriers or surface-bound applications. |
Text Extraction and Script Completion in Images of Arabic Script-Based Calligraphy: A Thesis Proposal (2025.naacl-srw)
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| Challenge: | despite its artistic elements, Arabic calligraphy is difficult to read, even for those fluent in Arabic. |
| Approach: | They analyze the variability in calligraphic styles and the influence of artistic distortions to improve text extraction and script completion. |
| Outcome: | The proposed methods improve text extraction and script completion in Arabic calligraphy . the authors show that the proposed techniques are more efficient than traditional methods . |
Improving Code-Switching Dependency Parsing with Semi-Supervised Auxiliary Tasks (2022.findings-naacl)
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| Challenge: | Code-switching dependency parsing is a challenging task due to the scarcity of necessary resources and structural difficulties embedded in code-switch languages. |
| Approach: | They propose to use sequence labeling models as auxiliary tasks for code-switched dependency parsing in a semi-supervised scheme and acquire state-of-the-art scores on all studied languages. |
| Outcome: | The proposed model outperforms the previous model by 7.4 LAS points on average on all of the studied languages. |