@inproceedings{chen-etal-2020-joint-modeling,
    title = "Joint Modeling of Arguments for Event Understanding",
    author = "Chen, Yunmo  and
      Chen, Tongfei  and
      Van Durme, Benjamin",
    editor = "Braud, Chlo{\'e}  and
      Hardmeier, Christian  and
      Li, Junyi Jessy  and
      Louis, Annie  and
      Strube, Michael",
    booktitle = "Proceedings of the First Workshop on Computational Approaches to Discourse",
    month = nov,
    year = "2020",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/Ingest-2025-COMPUTEL/2020.codi-1.10/",
    doi = "10.18653/v1/2020.codi-1.10",
    pages = "96--101",
    abstract = "We recognize the task of event argument linking in documents as similar to that of intent slot resolution in dialogue, providing a Transformer-based model that extends from a recently proposed solution to resolve references to slots. The approach allows for joint consideration of argument candidates given a detected event, which we illustrate leads to state-of-the-art performance in multi-sentence argument linking."
}