In this task, you will be presented with a context from an academic paper and a question separated with a 
. You have to answer the question based on the context.

For comparison purpose, we build two baseline systems for each direction: one is use the traditional phrase-based statistical machine translation (SMT), the other one is the NMT system.  
 Question: what was the baseline?
traditional phrase-based statistical machine translation (SMT) NMT system

The second data batch consists of event-related tweets for five natural disasters occurring in the U.S. in 2018. These are: the East Coast Bomb Cyclone (Jan. 2 - 6); the Mendocino, California wildfires (Jul. 27 - Sept. 18); Hurricane Florence (Aug. 31 - Sept. 19); Hurricane Michael (Oct. 7 - 16); and the California Camp Fires (Nov. 8 - 25).  
 Question: Which five natural disasters were examined?
the East Coast Bomb Cyclone  the Mendocino, California wildfires Hurricane Florence Hurricane Michael the California Camp Fires

CFQ contains the most query patterns by an order of magnitude and also contains significantly more queries and questions than the other datasets.  
 Question: How authors justify that question answering dataset presented is realistic?

CFQ contains the most query patterns by an order of magnitude and also contains significantly more queries and questions than the other datasets