
Combining persona and argument in dialogue
Başlık:
Combining persona and argument in dialogue
Yazar:
Güzel, Şükrü, author.
Yazar Ek Girişi:
Fiziksel Tanımlama:
ix, 57 leaves: illustrarions, charts; 29 cm + 1 computer laser optical disc.
Özet:
The increasing popularity of personalized dialogue systems has gained momentum as people’s desire for human-like interaction grows. This thesis aims to increase persona consistent responses in personalized dialogue systems. A data augmentation method was used to enhance the persona consistency of dialogue systems. This technique utilized Large Language Models’ few-shot learning capabilities to add counterfactual sentences to the dialogue. GPT 3.5 and Llama 2 models were used to generate counterfactual sentences using the few-shot prompting method. The augmentation method was applied to every dialogue in the PersonaChat dataset that did not originally contain a counterfactual sentence. Evaluation using the state-of-the-art personalized dialogue generation study showed that the persona-consistency results of the dataset augmented with the GPT 3.5 model showed better performance when assessed using metrics.
Yazar Ek Girişi:
Tüzel Kişi Ek Girişi:
Tek Biçim Eser Adı:
Thesis (Master)-- İzmir Institute of Technology: Computer Engineering
İzmir Institute of Technology: Computer Engineering. (Master).
Elektronik Erişim:
Access to Electronic Versiyon.