@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."
}
Markdown (Informal)
[EventGraph at CASE 2021 Task 1: A General Graph-based Approach to Protest Event Extraction](https://preview.aclanthology.org/jlcl-multiple-ingestion/2022.case-1.22/) (You et al., CASE 2022)
ACL