Tag
This paper presents three studies examining the inter-rater reliability of LLM and rule-based annotation systems for inferential narrative features in a Turkish corpus, finding low agreement and highlighting challenges in automatic detection and annotation consistency.
This paper introduces Real-TurnTurk, a multimodal Turkish conversational dataset for turn-taking prediction, featuring synchronized video, audio, and transcriptions. It uses genetic algorithms to optimize interpretable decision rules for predicting turn transitions in natural dialogue.