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 re-implement the model proposed in BIBREF3, and use it as a baseline for our problem. The rationale behind choosing this particular model as a baseline is it's proven good predictive performance on multilingual text classification. 
 Question: What is their baseline model?

Ex Output:
the model proposed in BIBREF3


Ex Input:
The ratio of correct `translations' (matches) was used as an evaluation measure. 
 Question: What evaluation metric do they use?

Ex Output:
Accuracy


Ex Input:
Bag-of-words feature vectors were used to train a multinomial logistic regression model. Let INLINEFORM0 be the true label, where INLINEFORM1 is the total number of labels and INLINEFORM2 is the concatenation of the weight vectors INLINEFORM3 associated with the INLINEFORM4 th party then DISPLAYFORM0 
 Question: What model are the text features used in to provide predictions?

Ex Output:

 multinomial logistic regression