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: A simple, yet recurrent text model is the well-known word co-occurrence network. After optional textual pre-processing steps, in a co-occurrence network each different word becomes a node and edges are established via co-occurrence in a desired window. A common strategy connects only adjacent words in the so called word adjacency networks.
Question: On what model architectures are previous co-occurence networks based?
Example Output: in a co-occurrence network each different word becomes a node and edges are established via co-occurrence in a desired window connects only adjacent words in the so called word adjacency networks

Example Input: We have used a dataset of 14 TDs to conduct our experiments.
Question: Which dataset(s) do they use?
Example Output: 14 TDs BIBREF15

Example 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?
Example Output:
human evaluation task about the style strength