论文标题
财务文件因果检测共享任务（Fincausal 2020）
Financial Document Causality Detection Shared Task (FinCausal 2020)
论文作者
论文摘要
我们介绍了Fincausal 2020年财务文件和相关Fincausal数据集中因果关系检测的共同任务，并讨论参与系统和结果。提出了两个子任务：二进制分类任务（任务1）和关系提取任务（任务2）。共有16个团队在这两个任务中提交了运行，其中13个团队通过系统描述论文做出了贡献。该研讨会与在第28届国际计算语言学会议（Coling'2020）举行的有关财务叙事处理和多元化金融摘要的联合研讨会（FNP-FNS 2020）有关，于2020年9月12日在西班牙巴塞罗那举行。
We present the FinCausal 2020 Shared Task on Causality Detection in Financial Documents and the associated FinCausal dataset, and discuss the participating systems and results. Two sub-tasks are proposed: a binary classification task (Task 1) and a relation extraction task (Task 2). A total of 16 teams submitted runs across the two Tasks and 13 of them contributed with a system description paper. This workshop is associated to the Joint Workshop on Financial Narrative Processing and MultiLing Financial Summarisation (FNP-FNS 2020), held at The 28th International Conference on Computational Linguistics (COLING'2020), Barcelona, Spain on September 12, 2020.
