5 papers
TurnTurk-GPT: Text-Based Turn-Taking Prediction for Turkish
Ahmet Tuğrul Bayrak, Fatma Nur Korkmaz, Nur Yağmur Tuncer +1
This paper presents TurnTurk-GPT, a text-based turn-taking predictor for Turkish obtained by fine-tuning a Turkish GPT-2 model with the TurnGPT objective on synthetic and real dial…
Comparing Chunking and Embedding Strategies for Turkish RAG Systems
Mustafa Sertaç Türkel, Fatma Nur Korkmaz, Ahmet Tuğrul Bayrak
Retrieval-Augmented Generation conditions a language model on chunks retrieved from a document collection. Its accuracy is therefore limited by the chunking and embedding stages th…
Real-TurnTurk: A Multimodal Turkish Corpus for Turn-Taking Prediction
Ahmet Tuğrul Bayrak, Fatma Nur Korkmaz, Bekir Berker Türker +2
Turn-taking is a basic organizational feature of human conversation and remains difficult to model in natural, synchronous dialog systems. While existing research has explored mult…
Syn-TurnTurk: A Synthetic Dataset for Turn-Taking Prediction in Turkish Dialogues
Ahmet Tuğrul Bayrak, Mustafa Sertaç Türkel, Fatma Nur Korkmaz
Managing natural dialogue timing is a significant challenge for voice-based chatbots. Most current systems usually rely on simple silence detection, which often fails because human…
Using Person Embedding to Enrich Features and Data Augmentation for Classification
Ahmet Tuğrul Bayrak
Today, machine learning is applied in almost any field. In machine learning, where there are numerous methods, classification is one of the most basic and crucial ones. Various pro…