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.

Example Input: Each passage was labelled by 3 unique annotators.
Question: How many annotators were there?
Example Output: 3

Example Input: As shown in Table , the proposed PS-rnn-elmo shows a significant MAP performance improvement compared to the previous best model, CompClip-LM (0.696 to 0.734 absolute).
Question: How much better performance of proposed model compared to answer-selection models?
Example Output: significant MAP performance improvement compared to the previous best model, CompClip-LM (0.696 to 0.734 absolute)

Example Input: Routines were developed to simulate input data based on the authors experience with real healthcare data. The reasons for this choice were twofold: One, healthcare data can be high in incidental complexity, requiring one-off code to handle unusual inputs, but not necessarily in such a way as to significantly alter the fundamental engineering choices in a semantic enrichment engine such as this one. Two, healthcare data is strictly regulated, and the process for obtaining access to healthcare data for research can be cumbersome and time-consuming.

A simplified set of input data, in a variety of different formats that occur frequently in a healthcare setting, was used for simulation.
Question: What type of simulations of real-time data feeds are used for validaton?
Example Output:
simplified set of input data, in a variety of different formats that occur frequently in a healthcare setting