@inproceedings{you-etal-2022-eventgraph-case,
    title = "{E}vent{G}raph at {CASE} 2021 Task 1: A General Graph-based Approach to Protest Event Extraction",
    author = "You, Huiling  and
      Samuel, David  and
      Touileb, Samia  and
      {\O}vrelid, Lilja",
    editor = {H{\"u}rriyeto{\u{g}}lu, Ali  and
      Tanev, Hristo  and
      Zavarella, Vanni  and
      Y{\"o}r{\"u}k, Erdem},
    booktitle = "Proceedings of the 5th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE)",
    month = dec,
    year = "2022",
    address = "Abu Dhabi, United Arab Emirates (Hybrid)",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/2022.case-1.22/",
    doi = "10.18653/v1/2022.case-1.22",
    pages = "155--160",
    abstract = "This paper presents our submission to the 2022 edition of the CASE 2021 shared task 1, subtask 4. The EventGraph system adapts an end-to-end, graph-based semantic parser to the task of Protest Event Extraction and more specifically subtask 4 on event trigger and argument extraction. We experiment with various graphs, encoding the events as either {\textquotedblleft}labeled-edge{\textquotedblright} or {\textquotedblleft}node-centric{\textquotedblright} graphs. We show that the {\textquotedblleft}node-centric{\textquotedblright} approach yields best results overall, performing well across the three languages of the task, namely English, Spanish, and Portuguese. EventGraph is ranked 3rd for English and Portuguese, and 4th for Spanish."
}