Web debates play an important role in enabling broad participation of constituen cies in social, political and economic decision-taking. However, it is challenging to organize, structure, and navigate a vast number of diverse argumentations and comments collected from many participants over a long time period. In this paper we demonstrate Common Round, a next generation platform for large-scale web debates, which provides functions for eliciting the semantic content and structures from the contributions of participants. In particular, Common Round applies language technologies for the extraction of semantic essence from textual input, agregation of the formulated opinions and arguments. The platform also provides a cross-lingual access to debates using ma- chine translatio
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