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.

We also measure the usage of words related to people's core values as reported by Boyd et al. boyd2015. The sets of words, or themes, were excavated using the Meaning Extraction Method (MEM) BIBREF10 . 
 Question: How do they obtain psychological dimensions of people?
using the Meaning Extraction Method

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?
human evaluation task about the style strength

We use an off-the-shelf parser, in this case Stanford CoreNLP BIBREF11 , to create binary constituency parses. 
 Question: How do they obtain parsed source sentences?

Stanford CoreNLP BIBREF11