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.

Input: Consider Input: Figure FIGREF23 shows the proposed ontology, which, in our evaluation procedure, was populated with 3121 events entries from 51 documents. 
 Question: How is the effectiveness of this pipeline approach evaluated?

Output: proposed ontology, which, in our evaluation procedure, was populated with 3121 events entries from 51 documents.


Input: Consider Input: In this paper, we present an extraction-then-synthesis framework for machine reading comprehension shown in Figure 1 , in which the answer is synthesized from the extraction results. We build an evidence extraction model to predict the most important sub-spans from the passages as evidence, and then develop an answer synthesis model which takes the evidence as additional features along with the question and passage to further elaborate the final answers. 
 Question: Which framework they propose in this paper?

Output:  extraction-then-synthesis framework


Input: Consider Input: Subsequently, an LSTM decoder generates the characters in the output word form using encoder states and an attention mechanism. 
 Question: Does the model have attention?


Output: Yes