Question Answering Systems Approaches and Challenges

Reem Alqifari


Abstract
Question answering (QA) systems permit the user to ask a question using natural language, and the system provides a concise and correct answer. QA systems can be implemented for different types of datasets, structured or unstructured. In this paper, some of the recent studies will be reviewed and the limitations will be discussed. Consequently, the current issues are analyzed with the proposed solutions.
Anthology ID:
R19-2011
Volume:
Proceedings of the Student Research Workshop Associated with RANLP 2019
Month:
September
Year:
2019
Address:
Varna, Bulgaria
Venue:
RANLP
SIG:
Publisher:
INCOMA Ltd.
Note:
Pages:
69–75
Language:
URL:
https://aclanthology.org/R19-2011
DOI:
10.26615/issn.2603-2821.2019_011
Bibkey:
Cite (ACL):
Reem Alqifari. 2019. Question Answering Systems Approaches and Challenges. In Proceedings of the Student Research Workshop Associated with RANLP 2019, pages 69–75, Varna, Bulgaria. INCOMA Ltd..
Cite (Informal):
Question Answering Systems Approaches and Challenges (Alqifari, RANLP 2019)
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PDF:
https://aclanthology.org/R19-2011.pdf