Neural networks for text-based answer extraction
نویسنده
چکیده
In this paper we propose a simple neural network architecture for solving the problem of text-based answer extraction, using the SQuAD dataset to train. Although our model fails to perform as well as desired, it does better than random guess, and could potentially serve as a useful starting point should we choose to pursue further research in the field.
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تاریخ انتشار 2017