Abstract
Machines capable of responding and interacting with humans in helpful ways have become
ubiquitous. We now expect them to discuss
with us the more delicate questions in our
world, and they should do so armed with effective arguments. But what makes an argument
more persuasive? What will convince you?
In this paper, we present a new data set, IBMEviConv, of pairs of evidence labeled for convincingness, designed to be more challenging
than existing alternatives. We also propose a
Siamese neural network architecture shown to
outperform several baselines on both a prior
convincingness data set and our own. Finally,
we provide insights into our experimental results and the various kinds of argumentative
value our method is capable of detecting