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.

[Q]: This paper used the real-time method to randomly collect 10% of publicly available English tweets using several pre-defined DDEO-related queries (Table TABREF6 ) within a specific time frame.  
 Question: Do they evaluate only on English data?
[A]: Yes


[Q]:  For a fair comparison with previous work, we train the baseline MT system on the data released by BIBREF11.  
 Question: what was the baseline?
[A]:  MT system on the data released by BIBREF11


[Q]: It has been shown that one can significantly increase the semantic information carried by a NER system when we successfully linking entities from a deep learning method to the related entities from a knowledge base BIBREF26 , BIBREF27 . Redirection: For the Wikidata linking element, we recognize that the lookup will be constrained by the most common lookup name for each entity.  
 Question: How do they combine a deep learning model with a knowledge base?
[A]:
Entities from a deep learning model are linked to the related entities from a knowledge base by a lookup.