Machine Comprehension Using Match-LSTM and Answer Pointer

international conference on learning representations, 2017.

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Abstract:

Machine comprehension of text is an important problem in natural language processing. A recently released dataset, the Stanford Question Answering Dataset (SQuAD), offers a large number of real questions and their answers created by humans through crowdsourcing. SQuAD provides a challenging testbed for evaluating machine comprehension alg...More

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