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.

Q: In total around 500 different workers were involved in the annotation. about 500 
 Question: How many people participated in their evaluation study of table-to-text models?

A: about 500
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Q: word embedding, input encoder, alignment, aggregation, and prediction 
 Question: what is the architecture of the baseline model?

A: word embedding, input encoder, alignment, aggregation, and prediction.
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Q: 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: What two components are included in their proposed framework?

A:
evidence extraction and answer synthesis
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