SQuAD Reading Comprehension
نویسنده
چکیده
One important task in Natural Language Understanding is Reading Comprehension. Given a piece of text, we want to be able to answer any relevant questions. Using Stanford Question Answering Dataset(SQuAD), which is a new reading comprehension dataset consisting of 100,000+ questions posed by crowdworkers on a set of Wikipedia articles, we built a reading comprehension model that attains 75.2% F1 score and 65.0% Exact Match (EM) on the test set.
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تاریخ انتشار 2018