A simple sequence attention model for machine comprehension
نویسنده
چکیده
Machine comprehension is an important NLP problem with a number of important applications. Particularly question answering has been attracting a lot of attention on the applied research area. This work explores a simple sequence attention architecture for question answering. In this work the Stanford Question and Answering Dataset (SQuAD) introduced by Rajpurkar et al. (2016) is employed.
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تاریخ انتشار 2017