Various neural models based on attention mechanisms (Wang and Jiang, 2016;Seo et al., 2016;Xiong et al., 2016;Dhingra et al., 2016;Kadlec et al., 2016;Trischler et al., 2016b;Sordoni et al., 2016;Cui et al., 2016; have been proposed to tackle the tasks of question answering and reading comprehension.
the performance of these neural models largely relies on a large amount of labeled data available for training.