Arabic Question Answering Systems: Gap Analysis
نویسندگان
چکیده
Question-answering (QA) systems aim to provide answers for given questions. The can be extracted or generated from either unstructured structured text. Therefore, QA is considered an important field that used evaluate machine text understanding. Arabic a challenging language many reasons; although it spoken by more than 330 million native speakers, research on this limited. A few created are available. They were experiment small datasets, some of which unavailable. expanded into different components systems, such as question analysis, information retrieval, and answer extraction. objective analyze the reviewing, categorizing, analyzing gaps providing advice those who would like work in field. Six benchmark datasets available testing evaluating 26 selected analyzed discussed research.
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ژورنال
عنوان ژورنال: IEEE Access
سال: 2021
ISSN: ['2169-3536']
DOI: https://doi.org/10.1109/access.2021.3074950