@inproceedings{schaefer-etal-2023-towards,
    title = "Towards Fine-Grained Argumentation Strategy Analysis in Persuasive Essays",
    author = "Schaefer, Robin  and
      Knaebel, Ren{\'e}  and
      Stede, Manfred",
    editor = "Alshomary, Milad  and
      Chen, Chung-Chi  and
      Muresan, Smaranda  and
      Park, Joonsuk  and
      Romberg, Julia",
    booktitle = "Proceedings of the 10th Workshop on Argument Mining",
    month = dec,
    year = "2023",
    address = "Singapore",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest_wac_2008/2023.argmining-1.8/",
    doi = "10.18653/v1/2023.argmining-1.8",
    pages = "76--88",
    abstract = "We define an argumentation strategy as the set of rhetorical and stylistic means that authors employ to produce an effective, and often persuasive, text. First computational accounts of such strategies have been relatively coarse-grained, while in our work we aim to move to a more detailed analysis. We extend the annotations of the Argument Annotated Essays corpus (Stab and Gurevych, 2017) with specific types of claims and premises, propose a model for their automatic identification and show first results, and then we discuss usage patterns that emerge with respect to the essay structure, the {\textquotedblleft}flows{\textquotedblright} of argument component types, the claim-premise constellations, the role of the essay prompt type, and that of the individual author."
}