Abstract
To make the Human Computer Interaction more user friendly and persona aligned, detection of user persona is of utmost significance. Towards achieving this objective, we describe a novel approach to select the persona of a user from pre-determine list of personas and utilize it to generate personalized responses. This is achieved in two steps. Firstly, closest matching persona is detected from a set of pre-determined persona for the user. The second step involves the use of a fine-tuned natural language generation (NLG) model to generate persona compliant responses. Through experiments, we demonstrate that the proposed architecture generates better responses than current approaches by using a detected persona. Experimental evaluation on the PersonaChat dataset has demonstrated notable performance in terms of perplexity and F1-score.- Anthology ID:
- 2022.icon-main.6
- Volume:
- Proceedings of the 19th International Conference on Natural Language Processing (ICON)
- Month:
- December
- Year:
- 2022
- Address:
- New Delhi, India
- Editors:
- Md. Shad Akhtar, Tanmoy Chakraborty
- Venue:
- ICON
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 50–54
- Language:
- URL:
- https://aclanthology.org/2022.icon-main.6
- DOI:
- Cite (ACL):
- Abhijit Nargund, Sandeep Pandey, and Jina Ham. 2022. PAR: Persona Aware Response in Conversational Systems. In Proceedings of the 19th International Conference on Natural Language Processing (ICON), pages 50–54, New Delhi, India. Association for Computational Linguistics.
- Cite (Informal):
- PAR: Persona Aware Response in Conversational Systems (Nargund et al., ICON 2022)
- PDF:
- https://preview.aclanthology.org/teach-a-man-to-fish/2022.icon-main.6.pdf