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.
--------
Question: For instance, we observed that winter words were together and far away from summer ones. Week days were grouped as well and far from week-end days. 
 Question: What geometric properties do embeddings display?

Answer: Winter and summer words formed two separate clusters. Week day and week-end day words also formed separate clusters.


Question: The only remaining question is what makes two environments similar enough to infer the existence of a common category. There is, again, a large literature on this question (including the aforementioned language modeling, unsupervised parsing, and alignment work), but in the current work we will make use of a very simple criterion: fragments are interchangeable if they occur in at least one lexical environment that is exactly the same. 
 Question: How do they determine similar environments for fragments in their data augmentation scheme?

Answer: fragments are interchangeable if they occur in at least one lexical environment that is exactly the same


Question: The BLEU metric is adopted to evaluate the model performance during evaluation. 
 Question: What evaluation metric is used?

Answer:
The BLEU metric 


