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.

Ex 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?

Ex Output:
Precision, Recall and INLINEFORM0 score


Ex Input:
In addition, we have another independent human evaluation task about the style strength – we present the generated headlines from TitleStylist and baselines to the human judges and let them choose the one that most conforms to the target style such as humor. Then we define the style strength score as the proportion of choices. 
 Question: How is presence of three target styles detected?

Ex Output:
human evaluation task about the style strength


Ex Input:
Similar to BIBREF9, we experiment with SVM with RBF kernel, with features that represent (1) the simple characteristics of the argument tree and (2) the linguistic characteristics of the claim. 
 Question: What models that rely only on claim-specific linguistic features are used as baselines?

Ex Output:

SVM with RBF kernel