论文标题
wnut 2020年共享任务1：关系提取作为上下文化序列分类
Big Green at WNUT 2020 Shared Task-1: Relation Extraction as Contextualized Sequence Classification
论文作者
论文摘要
关系和事件提取是自然语言处理中的重要任务。我们介绍了一个系统，该系统使用上下文化的知识图完成来对嘈杂的文本环境中已知实体之间的关系和事件进行分类。我们报告结果表明，我们的系统能够从湿实验室协议数据集中有效提取关系和事件。
Relation and event extraction is an important task in natural language processing. We introduce a system which uses contextualized knowledge graph completion to classify relations and events between known entities in a noisy text environment. We report results which show that our system is able to effectively extract relations and events from a dataset of wet lab protocols.
