Information Retrieval Chatbot on Military Policies and Standards

Charith Gunasekara, Alaa Sharafeldin, Matthew Triff, Zareen Kabir, Rohan Ben Joseph

2024

Abstract

In the Canadian Armed Forces (CAF), navigating through extensive policies and standards can be a challenging task. To address the need for streamlined access to these vital documents, this paper explores the usage of artificial intelligence (AI) and natural language processing (NLP) to create a question-answering chatbot. This chatbot is specifically tailored to pinpoint and retrieve specific passages from policy documents in response to user queries. Our approach involved first developing a comprehensive and systematic data collection technique for parsing the multi-formatted policy and standard documents. Following this, we implemented an advanced NLP-based information retrieval system to provide the most relevant answers to users’ questions. Preliminary user evaluations showcased a promising accuracy rate of 88.46%. Even though this chatbot is designed to operate on military policy documents, it can be extended for similar use cases to automate information retrieval from long documents.

Paper Citation

in Harvard Style

Gunasekara C., Sharafeldin A., Triff M., Kabir Z. and Ben Joseph R. (2024). Information Retrieval Chatbot on Military Policies and Standards. In Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM; ISBN 978-989-758-684-2, SciTePress, pages 714-722. DOI: 10.5220/0012351200003654

in Bibtex Style

@conference{icpram24,
author={Charith Gunasekara and Alaa Sharafeldin and Matthew Triff and Zareen Kabir and Rohan Ben Joseph},
title={Information Retrieval Chatbot on Military Policies and Standards},
booktitle={Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM},
year={2024},
pages={714-722},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012351200003654},
isbn={978-989-758-684-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM
TI - Information Retrieval Chatbot on Military Policies and Standards
SN - 978-989-758-684-2
AU - Gunasekara C.
AU - Sharafeldin A.
AU - Triff M.
AU - Kabir Z.
AU - Ben Joseph R.
PY - 2024
SP - 714
EP - 722
DO - 10.5220/0012351200003654
PB - SciTePress