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.
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Question: The main set of experiments uses a Linear Support Vector Machine (Joachims, 1998) to classify dialects using CxG features. This paper has used data-driven language mapping to select national dialects of English to be included in a global dialect identification model.
Question: What do the models that they compare predict?

Answer: national dialects of English

Question: Fenerbahce We have decided to consider tweets about popular sports clubs as our domain for stance detection. Hence we have determined our targets as Galatasaray (namely Target-1) and Fenerbahce (namely, Target-2) which are two of the most popular football clubs in Turkey. Then, we have annotated the stance information in the tweets for these targets as Favor or Against. For the purposes of the current study, we have not annotated any tweets with the Neither class.
Question: How were the tweets annotated?

Answer: tweets are annotated with only Favor or Against for two targets - Galatasaray and Fenerbahce

Question: Which events authors choose to include in their history, which they leave out, and the way the events chosen relate to the march are crucial factors in conveying bias.
Question: What factors contribute to interpretive biases according to this research?

Answer:
Which events authors choose to include in their history, which they leave out, and the way the events chosen relate to the march