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.- Anthology ID:
- 2024.scichat-1.6
- Volume:
- Proceedings of the 1st Workshop on Simulating Conversational Intelligence in Chat (SCI-CHAT 2024)
- Month:
- March
- Year:
- 2024
- Address:
- St. Julians, Malta
- Editors:
- Yvette Graham, Qun Liu, Gerasimos Lampouras, Ignacio Iacobacci, Sinead Madden, Haider Khalid, Rameez Qureshi
- Venues:
- SCI-CHAT | WS
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 66–69
- Language:
- URL:
- https://aclanthology.org/2024.scichat-1.6
- DOI:
- Cite (ACL):
- Mohammed Rizwan. 2024. SarcEmp - Fine-tuning DialoGPT for Sarcasm and Empathy. In Proceedings of the 1st Workshop on Simulating Conversational Intelligence in Chat (SCI-CHAT 2024), pages 66–69, St. Julians, Malta. Association for Computational Linguistics.
- Cite (Informal):
- SarcEmp - Fine-tuning DialoGPT for Sarcasm and Empathy (Rizwan, SCI-CHAT-WS 2024)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-4/2024.scichat-1.6.pdf