论文标题
NSURL-2019任务7：FARSI中的命名实体识别（NER）
NSURL-2019 Task 7: Named Entity Recognition (NER) in Farsi
论文作者
论文摘要
NSURL-2019任务7专注于FARSI的指定实体识别（NER）。选择此任务是为了比较不同的方法来查找在FARSI文本中指定命名实体的短语，并为FARSI中的该任务进行了标准的测试台。本文介绍了制作培训和测试数据的过程，参与团队的列表（6个团队）及其系统的评估结果。最佳系统根据七类的NES，包括人员，组织，位置，日期，时间，货币和百分比，获得了F1分数的85.4％。
NSURL-2019 Task 7 focuses on Named Entity Recognition (NER) in Farsi. This task was chosen to compare different approaches to find phrases that specify Named Entities in Farsi texts, and to establish a standard testbed for future researches on this task in Farsi. This paper describes the process of making training and test data, a list of participating teams (6 teams), and evaluation results of their systems. The best system obtained 85.4% of F1 score based on phrase-level evaluation on seven classes of NEs including person, organization, location, date, time, money and percent.
