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 Input:
We use Waseem and Hovy BIBREF5, Davidson et al. BIBREF9, and Waseem et al. BIBREF10 as baselines and compare the results with our different fine-tuning strategies using pre-trained BERTbase model.  
 Question: What baseline is used?

Ex Output:
Waseem and Hovy BIBREF5 Davidson et al. BIBREF9 Waseem et al. BIBREF10


Ex Input:
 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 Output:
Using Google translation API.


Ex Input:
The D2V model has been rated 80 times as "bad relevance" while the pmra returned only 24 times badly relevant documents.  
 Question: How better are results for pmra algorithm  than Doc2Vec in human evaluation? 

Ex Output:

The D2V model has been rated 80 times as "bad relevance" while the pmra returned only 24 times badly relevant documents.