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 "labeled-edge" or "node-centric" graphs. We show that the "node-centric" 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. Our code is available at: https://github.com/huiling-y/eventgraph_at_case
翻译：本文介绍我们向2022年CASE 2021共同任务1的2022年版共同任务1, 子任务4的呈文。 事件拼图系统使一个终端到终端、基于图形的语义分析器适应抗议活动提取任务,更具体地说,关于事件触发和争论提取的子任务4。 我们实验各种图表,将事件编码为“标签-边缘”或“诺德-中心”图表。 我们显示,“诺德-中心”方法总体上产生最佳效果,在工作的三个语言,即英语、西班牙语和葡萄牙语之间表现良好。 事件Graph英语和葡萄牙语排名第三,西班牙语排名第四。 我们的代码可以在 https://github.com/huiling-y/eventraph_at_case上查阅。
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