论文标题
Capitel共享任务的概述在Iberlef 2020：命名实体识别和通用依赖性解析
Overview of CAPITEL Shared Tasks at IberLEF 2020: Named Entity Recognition and Universal Dependencies Parsing
论文作者
论文摘要
我们介绍了在Iberlef 2020竞赛系列的背景下举行的Capitel-eval共享任务的结果。 Capitel-eval由两个子任务组成：（1）命名实体识别和分类以及（2）通用依赖性解析。对于这两者来说，源数据都是新的注释语料库，Capitel，这是新闻社领域中西班牙文章的集合。共有7支球队参加了Capitel-eval，共有13次跑步在所有子任务中。数据，结果和有关此任务的更多信息可以在sites.google.com/view/capitel2020上找到。
We present the results of the CAPITEL-EVAL shared task, held in the context of the IberLEF 2020 competition series. CAPITEL-EVAL consisted on two subtasks: (1) Named Entity Recognition and Classification and (2) Universal Dependency parsing. For both, the source data was a newly annotated corpus, CAPITEL, a collection of Spanish articles in the newswire domain. A total of seven teams participated in CAPITEL-EVAL, with a total of 13 runs submitted across all subtasks. Data, results and further information about this task can be found at sites.google.com/view/capitel2020.
