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: ACL-ARC is a dataset of citation intents released by BIBREF7 . The dataset is based on a sample of papers from the ACL Anthology Reference Corpus BIBREF15 and includes 1,941 citation instances from 186 papers and is annotated by domain experts in the NLP field.
Question: What is the size of ACL-ARC datasets?
Example Output: includes 1,941 citation instances from 186 papers

Example Input: Although techniques for constructing this knowledge base are outside the scope of this paper, we briefly mention them. Tables were constructed using a mixture of manual and semi-automatic techniques
Question: How is the semi-structured knowledge base created?
Example Output: using a mixture of manual and semi-automatic techniques

Example Input: We map each relation type $R(x,y)$ to at least one parametrized natural-language question $q_x$ whose answer is $y$ .
Question: How is the input triple translated to a slot-filling task?
Example Output:
The relation R(x,y) is mapped onto a question q whose answer is y