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  • Kettip Kriangchaivech, Artit Wangperawon...
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    Sep 14th, 2019
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    preprint
    Kettip Kriangchaivech, Artit Wangperawon...
    Sep 14th, 2019

    A machine learning model was developed to automatically generate questions from Wikipedia passages using transformers, an attention-based model eschewing the paradigm of existing recurrent neural networks (RNNs). The model was trained on the inverted Stanford Question Answering Dataset (SQuAD), which is a reading comprehension dataset consisting of 100,000+ questions posed by crowdworkers on a set of Wikipedia articles. After training, the question generation model is able to generate simple...

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