@inproceedings{sen-etal-2026-pointers,
    title = "{POINTERS} at {UZH} Shared Task 2026: Reasoning Probes for Argumentation Mining in {UN} Resolutions",
    author = "Sen, Sohom  and
      Nakarmi, Avina  and
      Song, Xun  and
      Dasgupta, Aritra",
    editor = "Elaraby, Mohamed  and
      Hautli-Janisz, Annette  and
      Romberg, Julia  and
      Musi, Elena  and
      Ruggeri, Federico  and
      Lawrence, John",
    booktitle = "Proceedings of the 13th Workshop on Argument Mining and Reasoning",
    month = jul,
    year = "2026",
    address = "San Diego, California, USA",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-acl-workshops/2026.argmining-1.16/",
    pages = "125--130",
    ISBN = "979-8-89176-399-9",
    abstract = "This paper describes the submission of team POINTERS to the UZH ArgMining 2026 Shared Task, which aims to recover the argumentation structure of UN and UNESCO resolutions by labeling paragraph types, assigning specific tags, and predicting relations between paragraphs. We take a generative approach, treating each resolution as a sequence of claim-evidence pairs connected by explicit reasoning strategies. First, each paragraph is classified as preambular or operative and assigned tags, with the model required to quote specific phrases to justify every decision. Second, for each paragraph, we first retrieve semantically related candidates using sentence transformers, then use reasoning strategies as a diagnostic scaffold to label the relation{---}supporting, complemental, contradictive, or modifying{---}along with a quoted, strategy-grounded rationale."
}