@inproceedings{dagostino-etal-2025-extracting,
    title = "Extracting a Prototypical Argumentative Pattern in Financial {Q}{\&}As",
    author = "D{'}Agostino, Giulia  and
      Van Der Meer, Michiel  and
      Reed, Chris",
    editor = "Ilinykh, Nikolai  and
      Appelgren, Mattias  and
      Lagerstedt, Erik",
    booktitle = "Proceedings of the 2025 CLASP Conference on Language models And RePresentations (LARP)",
    month = sep,
    year = "2025",
    address = "Gothenburg, Sweden",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/tal-24-ingestion/2025.clasp-main.5/",
    pages = "51--64",
    ISBN = "979-8-89176-249-7",
    abstract = "Argumentative patterns are recurrent strategies adopted to pursue a definite communicative goal in a discussion. For instance, in Q{\&}A exchanges during financial conference calls, a pattern called Request of Confirmation of Inference (ROCOI) helps streamline conversations by requesting explicit verification of inferences drawn from a statement.Our work presents two ROCOI extraction approaches from interrogative units: sequence labeling and text-to-text generation. We experiment with multiple models for each task formulation to explore which models can effectively and robustly perform pattern extraction. Results indicate that machine-based ROCOI extraction is an achievable task, though variation among metrics that are designed for different evaluation dimensions makes obtaining a clear picture difficult. We find that overall, ROCOI extraction is performed best via sequence labeling, though with ample room for improvement. We encourage future work to extend the study to new argumentative patterns."
}