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]: To investigate the extent to which the text obtained from the two platforms of Yahoo! Answers and Twitter reflect the true attributes of neighbourhoods, we first study whether there are significant, strong and meaningful correlations between the terms present in each corpus and the many neighbourhood attributes through the Pearson correlation coefficient $
ho $ .
Question: What do the correlation demonstrate?
[A]: the extent to which the text obtained from the two platforms of Yahoo! Answers and Twitter reflect the true attributes of neighbourhoods

[Q]: Hence, the continuous relaxation to top-k-argmax operation can be simply implemented by iteratively using the max operation which is continuous and allows for gradient flow during backpropagation.
Question: Which loss metrics do they try in their new training procedure evaluated on the output of beam search?
[A]: continuous relaxation to top-k-argmax

[Q]: To conclude this section, our model reliable corrects grammatical, spelling and word order errors on , with more mixed performance on lexical choice errors and some unnecessary paraphrasing of the input.
Question: What error types is their model more reliable for?
[A]:
grammatical, spelling and word order errors