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.

Example Input: replacing this single GRU with two different components first component is a sentence reader second component is the input fusion layer 
 Question: What changes they did on input module?
Example Output: For the DMN+, we propose replacing this single GRU with two different components. The first component is a sentence reader The second component is the input fusion layer

Example Input: 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 $\rho $ . 
 Question: What do the correlation demonstrate? 
Example Output: the extent to which the text obtained from the two platforms of Yahoo! Answers and Twitter reflect the true attributes of neighbourhoods

Example Input: The first challenge is to acquire very large Vietnamese corpus and to use them in building a classifier, which could further improve accuracy.  The second challenge is design and development of big data warehouse and analytic framework for Vietnamese documents, which corresponds to the rapid and continuous growth of gigantic volume of articles and/or documents from Web 2.0 applications, such as, Facebook, Twitter, and so on. The final challenge relates to building a system, which is able to incrementally learn new corpora and interactively process feedback. 
 Question: Why challenges does word segmentation in Vietnamese pose?
Example Output:
Acquire very large Vietnamese corpus and build a classifier with it, design a develop a big data warehouse and analytic framework, build a system to incrementally learn new corpora and interactively process feedback.