instruction:
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.
question:
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?
answer:
from Arabic WikiNews site

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:
Figure 1 shows a simple linear model with rank constraint.
Question: What are their baseline methods?
answer:
simple linear model with rank constraint Hierarchical softmax N-gram features