Suppose we have vector representations of an argument a and a Wikipedia article w. The similarity score, sim(a, w) is simply the dot product of the two representations, aw T .
for all methods that use the presence of Wikipedia articles, we use several variations of a corpus to determine how well the methods leverage topic-specific articles, as opposed to randomly selected articles.