TASK DEFINITION: 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.
PROBLEM: To make the annotated data publicly available, we selected 70 news articles from Arabic WikiNews site. These articles cover recent news from year 2013 to year 2015 in multiple genres (politics, economics, health, science and technology, sports, arts, and culture.) Articles contain 18,300 words, and they are evenly distributed among these 7 genres with 10 articles per each.
Question: Where did they collect their dataset from?

SOLUTION: from Arabic WikiNews site

PROBLEM: word embedding, input encoder, alignment, aggregation, and prediction
Question: what is the architecture of the baseline model?

SOLUTION: word embedding, input encoder, alignment, aggregation, and prediction.

PROBLEM: CFQ contains the most query patterns by an order of magnitude and also contains significantly more queries and questions than the other datasets.
Question: How authors justify that question answering dataset presented is realistic?

SOLUTION:
CFQ contains the most query patterns by an order of magnitude and also contains significantly more queries and questions than the other datasets