Task: Question Answering
Input (English): It is an order of magnitude more efficient in terms of training time. The model is complex, both in terms of implementation and run-time. Indeed, this model requires pre-training and mutual-learning and requires days of training time, whereas the simple architecture we propose requires on the order of an hour (and is easy to implement). MGNC-CNN is usually better than MG-CNN. And on the Subj dataset, MG-CNN actually achieves slightly better results than BIBREF11 , with far less complexity and required training time (MGNC-CNN performs comparably, although no better, here). 
 Question: How much faster is training time for MGNC-CNN over the baselines?
Output (English): It is an order of magnitude more efficient in terms of training time. his model requires pre-training and mutual-learning and requires days of training time, whereas the simple architecture we propose requires on the order of an hour