Long-form open-domain question-answering system architecture
Joint Authors
Muhammad, Mutazz
al-Rijayli, Salsabil Amin
Arif, Mustafa M.
Source
International Journal of Intelligent Computing and Information Sciences
Issue
Vol. 23, Issue 1 (31 Mar. 2023), pp.84-97, 14 p.
Publisher
Ain Shams University Faculty of Computer and Information Sciences
Publication Date
2023-03-31
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
Question answering is one of the challenging points of research in natural language processing recently.
the problem of automating the answering process for the user’s queries became required.
so, there were several papers suggested different system architectures for building a question answering systems.
in this research paper, we suggest our own system architecture taking into consideration that the input of the system architecture is only the asked question.
the suggested system architecture is a long-form open domain question answering that contains mainly two layers.
the natural language processing layer which holds the data module and the computing module.
this layer is responsible for many operations like pre-processing, preparing, storing the data along with taking the user’s question then providing the suitable answer.
the dataset of the proposed system has to be documents annotated with questions and answers extracted from these documents.
also, it has to be in SQUAD format.
the computing module is a retriever-reader based deep learning model.
this model achieves scores : 67% Recall @100 using dense passage retriever model and 67.7% F1 score for reader model.
the interface layer is the second layer which includes the APIs module and the user-interface module.
finally, we will discuss a real time case study for the system.
American Psychological Association (APA)
Muhammad, Mutazz& al-Rijayli, Salsabil Amin& Arif, Mustafa M.. 2023. Long-form open-domain question-answering system architecture. International Journal of Intelligent Computing and Information Sciences،Vol. 23, no. 1, pp.84-97.
https://search.emarefa.net/detail/BIM-1460753
Modern Language Association (MLA)
Muhammad, Mutazz…[et al.]. Long-form open-domain question-answering system architecture. International Journal of Intelligent Computing and Information Sciences Vol. 23, no. 1 (Mar. 2023), pp.84-97.
https://search.emarefa.net/detail/BIM-1460753
American Medical Association (AMA)
Muhammad, Mutazz& al-Rijayli, Salsabil Amin& Arif, Mustafa M.. Long-form open-domain question-answering system architecture. International Journal of Intelligent Computing and Information Sciences. 2023. Vol. 23, no. 1, pp.84-97.
https://search.emarefa.net/detail/BIM-1460753
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 96-97
Record ID
BIM-1460753