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: As the baseline, we simply judge the input token as IOCs on the basis of the spelling features described in BIBREF12 .
Question: What is used a baseline?

Output: As the baseline, we simply judge the input token as IOCs on the basis of the spelling features described in BIBREF12

Input: Consider Input: For all tasks, we use a TensorFlow implementation. AraNet predicts age, dialect, gender, emotion, irony, and sentiment from social media posts. It delivers state-of-the-art and competitive performance on these tasks and has the advantage of using a unified, simple framework based on the recently-developed BERT model.
Question: Did they experiment on all the tasks?

Output: Yes

Input: Consider Input: To identify legally sound answers, we recruit seven experts with legal training to construct answers to Turker questions.
Question: Who were the experts used for annotation?
Output: Individuals with legal training