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]: In order to derive the discourse features, an entity grid is constructed by feeding the document through an NLP pipeline to identify salient entities. Two flavors of discourse features are created by populating the entity grid with either (i) grammatical relations (GR) or (ii) RST discourse relations (RST).  
 Question: What discourse features are used?
[A]: Entity grid with grammatical relations and RST discourse relations.


[Q]: Table TABREF20 shows that, on WoZ and DSTC2 datasets, SIM model has the same number of parameters, which is only 23% and 19% of that in GLAD model. 
 Question: How do they measure model size?
[A]: By the number of parameters.


[Q]: We extract data from the WMT'14 English-French (En-Fr) and English-German (En-De) datasets.  
 Question: Are this techniques used in training multilingual models, on what languages?
[A]:
English to French and English to German