Multi-Lang Question Answering Framework for Decision Support in Educational Institutes

Walaa Elnozahy, Ghada El Khayat

2023

Abstract

Language Diversity has always been an important factor in different educational institutes; Also, a challenge for those interested in Data Analysis, Question answering, and Natural Language Processing (NLP). Researchers who are interested in linguistics are involved in enhancing language processing techniques, and how to apply them. They usually work through Question answering systems or Chatbots. Question Answering Systems and chatbots are now highly recognized, especially after the huge commercial announcement for services such as ChatGPT and Google’s new AI tool. Considering that these tools are very useful as opendomain tools. However, if we think from an institutional perspective, it will require further validation due to the domain type and the data type. it’s also easier for the Decision maker to comprehend and use. During the past few years, many attempts have been made to include Question Answering Systems in the Education sector. However, most of these attempts were single language Software mostly using English. Also, targeted students as a decision-maker to support the education process between teachers and students instead of the educational actors on a strategic level. The scarcity of the tools available in this domain, make it a challenging topic that needs more research attention. In this research, we are Proposing a Multi-lang Question Answering Framework that aims to support the Educational Sector from a strategic point of view. It aims to provide a Generic framework that will help Universities Identify the Students who will be best fit for a specific university program. The framework aims to cope with and adjust to the data type and enhance its conditions from historical data. Regardless of the resource language and origin. It is based on an ontological model for the education domain and uses NLP to process the data and get relevant answers for the users. Future work for this research will focus on enhancing the retrieval for the system, especially using the Arabic language, and support more languages in the tool.

Paper Citation

in Harvard Style

Elnozahy W. and El Khayat G. (2023). Multi-Lang Question Answering Framework for Decision Support in Educational Institutes. In Proceedings of the 15th International Conference on Computer Supported Education - Volume 1: EKM, ISBN 978-989-758-641-5, SciTePress, pages 427-435. DOI: 10.5220/0012059700003470

in Bibtex Style

@conference{ekm23,
author={Walaa Elnozahy and Ghada El Khayat},
title={Multi-Lang Question Answering Framework for Decision Support in Educational Institutes},
booktitle={Proceedings of the 15th International Conference on Computer Supported Education - Volume 1: EKM,},
year={2023},
pages={427-435},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012059700003470},
isbn={978-989-758-641-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Conference on Computer Supported Education - Volume 1: EKM,
TI - Multi-Lang Question Answering Framework for Decision Support in Educational Institutes
SN - 978-989-758-641-5
AU - Elnozahy W.
AU - El Khayat G.
PY - 2023
SP - 427
EP - 435
DO - 10.5220/0012059700003470
PB - SciTePress