Towards Building a Chatbot-Based First Aid Service in Arabic Language

Jomana Anwar; Peter Nadi; Noha Seddik

doi:10.37934/araset.45.2.110

Authors

Jomana Anwar Department of Computer Engineering, College of Engineering and Technology, Arab Academy for Science and Technology, Alexandria, Egypt
Peter Nadi Department of Computer Engineering, College of Engineering and Technology, Arab Academy for Science and Technology, Alexandria, Egypt
Noha Seddik Department of Computer Engineering, College of Engineering and Technology, Arab Academy for Science and Technology, Alexandria, Egypt

DOI:

https://doi.org/10.37934/araset.45.2.110

Keywords:

Natural language processing, Conversational AI, Language models

Abstract

In this paper, we introduce a modern standard Arabic (MSA) conversational AI in the field of first aid to assist anyone facing an emergency case. The proposed chatbot -based model not only provide adequate medical assistance, but also engage in empathetic interactions with users. Due to the lack of a reliable dataset that fits our purpose, we collect and construct a dataset of 374 records covering 55 first aid topic. Our chatbot architecture relies fine tuning pretrained language models in its intent classification and employs textual similarity to match user queries to records from the dataset. We evaluate the proposed model based using both a quantitative approach, through performance metrics of different modules, and a qualitative approach using a questionnaire.