4 papers
Do We Still Need Fine Tuning? Turkish Sentiment Analysis in the Era of Large Language Model
Sercan KarakaÅ, Yusuf ÅimÅek
This study examines whether supervised fine-tuning remains necessary for Turkish sentiment analysis in the era of large language models. We compare classical machine learning metho…
Supervision versus Demonstration-Based In-Context Learning for Multiword Expression Classification
Sercan KarakaÅ, Yusuf ÅimÅek
Turkish idiomatic light verb constructions (LVCs) are challenging for multiword expression processing because they often share the same surface form as fully literal verb-object co…
Benchmarking Source-Sensitive Reasoning in Turkish: Humans and LLMs under Evidential Trust Manipulation
Sercan KarakaÅ, Yusuf ÅimÅek
This paper investigates whether source trustworthiness shapes Turkish evidential morphology and whether large language models (LLMs) track this sensitivity. We study the past-domai…
From Lemmas to Dependencies: What Signals Drive Light Verbs Classification?
Sercan KarakaÅ, Yusuf ÅimÅek
Light verb constructions (LVCs) are a challenging class of verbal multiword expressions, especially in Turkish, where rich morphology and productive complex predicates create minim…