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Rhetorical Structure Theory implies no single discourse interpretation of atext, and the limitations of RST parsers further exacerbate inconsistentparsing of similar structures. Therefore, it is important to take into accountthat the same argumentative structure can be found in semantically similartexts with varying rhetorical structures. In this work, the differences betweenparaphrases within the same argument scheme are evaluated from a rhetoricalperspective. The study proposes a deep dependency parsing model to assess theconnection between rhetorical and argument structures. The model utilizesrhetorical relations; RST structures of paraphrases serve as training dataaugmentations. The method allows for end-to-end argumentation analysis using arhetorical tree instead of a word sequence. It is evaluated on the bilingualMicrotexts corpus, and the first results on fully-fledged argument parsing forthe Russian version of the corpus are reported. The results suggest thatargument mining can benefit from multiple variants of discourse structure.

End-to-End Argument Mining over Varying Rhetorical Structures