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Despite recent advances in Natural Language Processing (NLP), hierarchicaldiscourse parsing in the framework of Rhetorical Structure Theory remainschallenging, and our understanding of the reasons for this are as yet limited.In this paper, we examine and model some of the factors associated with parsingdifficulties in previous work: the existence of implicit discourse relations,challenges in identifying long-distance relations, out-of-vocabulary items, andmore. In order to assess the relative importance of these variables, we alsorelease two annotated English test-sets with explicit correct and distractingdiscourse markers associated with gold standard RST relations. Our results showthat as in shallow discourse parsing, the explicit/implicit distinction plays arole, but that long-distance dependencies are the main challenge, while lack oflexical overlap is less of a problem, at least for in-domain parsing. Our finalmodel is able to predict where errors will occur with an accuracy of 76.3% forthe bottom-up parser and 76.6% for the top-down parser.

What's Hard in English RST Parsing? Predictive Models for Error Analysis