In this task, you will be presented with a context from an academic paper and you have to write an answerable question based on the context. Your questions can be extractive, abstractive, or yes-no questions.

(2) Different from LEM and DPEMM, AEM uses a generator network to capture the event-related patterns and is able to mine events from different text sources (short and long). Moreover, unlike traditional inference procedure, such as Gibbs sampling used in LEM and DPEMM, AEM could extract the events more efficiently due to the CUDA acceleration;
What alternative to Gibbs sampling is used?

We acquired the data in two rounds of annotation. In the first one, we were looking for original and uncommon sentence change suggestions.
How do they introduce language variation?

The D2V model has been rated 80 times as "bad relevance" while the pmra returned only 24 times badly relevant documents. 

How better are results for pmra algorithm  than Doc2Vec in human evaluation?