In classifying propositions,<cite> Park and Cardie (2014)</cite> followed previous work such as Reed et al. (2008) and Palau and Moens (2009) , employing supervised learning methods. Despite using a rich set of linguistic features, these approaches suffer from low accuracy. In this paper, we show that state-of-the-art performance in claim classification for online user comments can be achieved without the need for expensive features.