A PDTB-styled end-to-end discourse parser

By Ziheng Lin, Hwee Tou Ng, Min-Yen Kan. Natural Language Engineering, 2012

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Argumentative Relation Classification as Plausibility Ranking (2019, background): “, 2013) and discourse parsing (Lin et al., 2014) as pre-processing steps (Stab and Gurevych, 2017; Opitz and Frank, 2019b).”
Machine Comprehension with Discourse Relations (2015, methodology): “The discourse information is typically computed using discourse parsers based on frameworks like RST (Feng and Hirst, 2014) or PDTB (Lin et al., 2014), trained using supervised data.”