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- W3118673445 abstract "Reading comprehension is the task of answering questions from paragraphs; it is also considered a subtask of question-answering systems. Although Arabic language is a language spoken by more than 330 million native speakers, it lacks the required resources, which are needed by the Arabic reading comprehension task to serve as a benchmark dataset. The goal of this work is to present the phases of creating Arabic reading comprehension benchmark dataset semiautomatically. The phases include; data collection, manual check, Google search, document retrieval, and paragraph retrieval. The paper also conducts a thorough evaluation for the created datasets." @default.
- W3118673445 created "2021-01-18" @default.
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- W3118673445 date "2020-11-28" @default.
- W3118673445 modified "2023-09-25" @default.
- W3118673445 title "Arabic Reading Comprehension Benchmarks Created Semiautomatically" @default.
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- W3118673445 doi "https://doi.org/10.1109/acit50332.2020.9300111" @default.
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