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: Non-contextual properties of a word. These features are derived directly from the word and capture the general tendency of a word being echoed in explanations.
Question: What non-contextual properties do they refer to?

Output: These features are derived directly from the word and capture the general tendency of a word being echoed in explanations.

Input: Consider Input: For de-identification tasks, the three metrics we will use to evaluate the performance of our architecture are Precision, Recall and INLINEFORM0 score as defined below.
Question: What evaluation metrics do they use?

Output: Precision, Recall and INLINEFORM0 score

Input: Consider Input: The question generation model provides each candidate answer with a score by measuring semantic relevance between the question and the generated question based on the semantics of the candidate answer.
Question: Where is a question generation model used?
Output: The question generation model provides each candidate answer with a score by measuring semantic relevance between the question and the generated question based on the semantics of the candidate answer.