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 Q]: To be able to employ the trained model, test sets are first translated to English via machine translation and then inference takes place. For machine translation, Google translation API is used.
Question: how did the authors translate the reviews to other languages?
[EX A]: Using Google translation API.

[EX Q]: Each tweet is annotated as no evidence of depression (e.g., "Citizens fear an economic depression") or evidence of depression (e.g., "depressed over disappointment"). If a tweet is annotated evidence of depression, then it is further annotated with one or more depressive symptoms, for example, depressed mood (e.g., "feeling down in the dumps"), disturbed sleep (e.g., "another restless night"), or fatigue or loss of energy (e.g., "the fatigue is unbearable") BIBREF10 .
Question: How is the dataset annotated?
[EX A]: no evidence of depression depressed mood disturbed sleep fatigue or loss of energy

[EX Q]: We also did a qualitative study on the Starbucks (SBUX) stock movement during this event. Figure FIGREF12 is the daily percentage change of SBUX and NASDAQ index between April 11th and April 20th. SBUX did not follow the upward trend of the whole market before April 17th, and then its change on April 20th, INLINEFORM0 , is quite significant from historical norms. We collected the historical 52 week stock prices prior to this event and calculated the daily stock price change. The distribution of the daily price change of the previous 52 weeks is Figure FIGREF13 with a mean INLINEFORM1 and standard deviation INLINEFORM2 .
Question: How does the method measure the impact of the event on market prices?
[EX A]:
We collected the historical 52 week stock prices prior to this event and calculated the daily stock price change. The distribution of the daily price change of the previous 52 weeks is Figure FIGREF13 with a mean INLINEFORM1 and standard deviation INLINEFORM2 .