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cs.CL2026
Abstracts or full text? Evaluating input scope and computational efficiency in biomedical lay summarization
Egecan Çelik Evgin, İlknur Karadeniz, Olcay Taner Yıldız
Biomedical research articles are mainly written for experts and often contain terms that are difficult for the general public to understand. Automated lay summarization has become…
cs.CL2026
Improving Health Literacy through Lay Summarization of Radiological Reports: An Evaluation of BioNER and Retrieval-Augmented Generation
Egecan Çelik Evgin, İlknur Karadeniz, Olcay Taner Yıldız
Radiology reports are written primarily for clinicians, and their specialized terminology often makes them difficult for patients to interpret. As a result, many patients turn to p…
cs.CL2024
Organic Data-Driven Approach for Turkish Grammatical Error Correction and LLMs
Asım Ersoy, Olcay Taner Yıldız
Grammatical Error Correction has seen significant progress with the recent advancements in deep learning. As those methods require huge amounts of data, synthetic datasets are bein…