论文标题
案例2021任务1：一种基于图形的一般抗议活动提取的方法
EventGraph at CASE 2021 Task 1: A General Graph-based Approach to Protest Event Extraction
论文作者
论文摘要
本文介绍了我们提交给2022版2021共享任务1，子任务4的提交。事件图系统适应了端到端，基于图的语义解析器，以抗议事件提取的任务，更具体地在事件触发器和参数提取的事件触发器上进行了子任务4。我们尝试各种图形，将事件编码为“标记为边缘”或“以节点为中心”的图形。我们表明，“以节点为中心”的方法总体上可以取得最佳效果，并且在任务的三种语言中表现良好，即英语，西班牙语和葡萄牙语。 EventGraph在英语和葡萄牙语中排名第三，西班牙语排名第四。我们的代码可在以下网址找到：https：//github.com/huiling-y/eventgraph_at_case
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
