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 simplify the task, we set up a binary classification: candidates who have been liked or shortlisted are considered part of the hirable class and others part of the not hirable class. 
 Question: How is "hirability" defined?
[EX A]: candidates who have been liked or shortlisted are considered part of the hirable class

[EX Q]: Following lebret2016neural, we used BLEU-4, NIST-4 and ROUGE-4 as the evaluation metrics. 
 Question: What metrics are used for evaluation?
[EX A]: BLEU-4 NIST-4 ROUGE-4

[EX Q]: To test this hypothesis we first trained UG-WGAN in English, Chinese and German following the procedure described in Section "UG-WGAN" . For this experiment we trained UG-WGAN on the English and Russian language following the procedure described in Section "UG-WGAN" .  To do so we trained 6 UG-WGAN models on the following languages: English, Russian, Arabic, Chinese, German, Spanish, French. 
 Question: What are the languages they consider in this paper?
[EX A]:
The languages considered were English, Chinese, German, Russian, Arabic, Spanish, French