@inproceedings{alqifari-2019-question,
    title = "Question Answering Systems Approaches and Challenges",
    author = "Alqifari, Reem",
    editor = "Kovatchev, Venelin  and
      Temnikova, Irina  and
      {\v{S}}andrih, Branislava  and
      Nikolova, Ivelina",
    booktitle = "Proceedings of the Student Research Workshop Associated with RANLP 2019",
    month = sep,
    year = "2019",
    address = "Varna, Bulgaria",
    publisher = "INCOMA Ltd.",
    url = "https://preview.aclanthology.org/fix-sig-urls/R19-2011/",
    doi = "10.26615/issn.2603-2821.2019_011",
    pages = "69--75",
    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."
}