Year: 2024
Type: conference-paper
Abstract: Conversational models often face challenges such as a lack of emotional temperament and a limited sense of humor when interacting with users.To address these issues, we have selected relevant data and fine-tuned the model to (i) humanize the chatbot based on the user's emotional response and the context of the conversation using a dataset based on empathy and (ii) enhanced conversations while incorporating humor/sarcasm for better user engagement.We aspire to achieve more personalized and enhanced user-computer interactions with the help of varied datasets involving sarcasm together with empathy on top of already available state-of-the-art conversational systems.
Author: Mohammed Rizwan
Language: English
Topic: Speech and dialogue systems
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
OpenAlex ID: W7126398638