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:
For a word belonging to any one of the word-groups representing these concepts, the modified cost term favors an increase for the value of this word's embedding vector dimension corresponding to the concept that the particular word belongs to.  
 Question: Along which dimension do the semantically related words take larger values?

Ex Output:
dimension corresponding to the concept that the particular word belongs to


Ex Input:
In its general form, a type-logical grammar consists of following components: 
 Question: Does Grail accept Prolog inputs?

Ex Output:
No


Ex Input:
We train $\mathcal {F}$ and $\mathcal {G}$ jointly and introduce two regularizers. Formally, we hope that $\mathcal {G}(\mathcal {F}(X))$ is similar to $X$ and $\mathcal {F}(\mathcal {G}(Y))$ is similar to $Y$. We implement this constraint as a cycle consistency loss. As a result, the proposed model has two learning objectives: i) an adversarial loss ($\ell _{adv}$) for each model as in the baseline. ii) a cycle consistency loss ($\ell _{cycle}$) on each side to avoid $\mathcal {F}$ and $\mathcal {G}$ from contradicting each other. 
 Question: What regularizers were used to encourage consistency in back translation cycles?

Ex Output:

an adversarial loss ($\ell _{adv}$) for each model as in the baseline a cycle consistency loss ($\ell _{cycle}$) on each side