Trabelsi and Zaïane (2015) used an augmented LDA to automatically extract coherent words and phrases describing arguing expressions and apply constrained cluster-ing to group similar viewpoints of topics.
to previous work, we apply argument clustering on a dataset containing both relevant and non-relevant arguments for a large number of different topics which is closer to a more realistic setup.