# Unsupervised Detection of Argumentative Units though Topic Modeling Techniques

Alfio FerraraStefano MontanelliGeorgios Petasis

In this paper we present a new unsupervised approach, {}Attraction to Topics{''} {--} A2T , for the detection of argumentative units, a sub-task of argument mining. Motivated by the importance of topic identification in manual annotation, we examine whether topic modeling can be used for performing unsupervised detection of argumentative sentences, and to what extend topic modeling can be used to classify sentences as claims and premises... (read more)

PDF Abstract

No code implementations yet. Submit your code now