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.

Our Pointer-Gen+ARL-SEN model achieves the best performance of 60.8%. This is an absolute improvement of 18.2% over the Pointer-Gen baseline. 
 Question: What is this method improvement over the best performing state-of-the-art?
absolute improvement of 18.2% over the Pointer-Gen baseline

We also run a manual evaluation which shows for the En-It task a slight quality degradation in exchange of a statistically significant reduction in the average length ratio, from 1.05 to 1.01. 
 Question: Do they conduct any human evaluation?
Yes

For the English version, we performed both a thorough manual analysis and automatic evaluation across three commonly used TS datasets from two different domains  For the English version, we performed both a thorough manual analysis and automatic evaluation across three commonly used TS datasets from two different domains  The evaluation of the German version is in progress. 
 Question: What are the corpora used for the task?

For the English version, we performed both a thorough manual analysis and automatic evaluation across three commonly used TS datasets from two different domains The evaluation of the German version is in progress.