Discourse parsing has proven useful for many applications (Taboada and Mann, 2006), ranging from summarization (Daumé III and Marcu, 2009;Thione et al., 2004;Sporleder and Lapata, 2005;Louis et al., 2010), sentiment analysis (Bhatia et al., 2015) or essay scoring (Burstein et al., 2003;Higgins et al., 2004).
the range of applications and the improvement allowed are for now limited by the low performance of the existing discourse parsers.