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.

Input: Consider 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?

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

Input: Consider Input: We empirically test our approach on a series of experiments on WikiTableQuestions, to our knowledge the only dataset designed for this task. In Algorithm 1 we describe how logical forms are transformed into interpretable textual representations called "paraphrases".
Question: What is the source of the paraphrases of the questions?

Output: WikiTableQuestions

Input: Consider Input: In this paper, we propose the first large-scale dataset for QA over social media data. Table TABREF3 gives an example from our TweetQA dataset. The dataset now includes 10,898 articles, 17,794 tweets, and 13,757 crowdsourced question-answer pairs
Question: What is the size of this dataset?
Output: 13,757