Rhetorical Structure Theory implies no single discourse interpretation of a
text, and the limitations of RST parsers further exacerbate inconsistent
parsing of similar structures. Therefore, it is important to take into account
that the same argumentative structure can be found in semantically similar
texts with varying rhetorical structures. In this work, the differences between
paraphrases within the same argument scheme are evaluated from a rhetorical
perspective. The study proposes a deep dependency parsing model to assess the
connection between rhetorical and argument structures. The model utilizes
rhetorical relations; RST structures of paraphrases serve as training data
augmentations. The method allows for end-to-end argumentation analysis using a
rhetorical tree instead of a word sequence. It is evaluated on the bilingual
Microtexts corpus, and the first results on fully-fledged argument parsing for
the Russian version of the corpus are reported. The results suggest that
argument mining can benefit from multiple variants of discourse structure.

该研究使用修辞树代替词序，提出了一种深度依存分析模型来评估同一论证方案内的释义差异，并使用 RST 结构的释义作为训练数据增强，结果表明论证挖掘可以从多种言语结构变体中获益。