论文标题
共享任务：德语中的词汇语义变化检测（学生项目报告）
Shared task: Lexical semantic change detection in German (Student Project Report)
论文作者
论文摘要
最近的NLP体系结构以各种方式说明了如何跨时间和域捕获语义变化。但是，就评估而言，缺乏基准来比较这些系统的性能相对。我们根据Schlechtweg等人提出的评估框架，介绍了德语中第一个共享任务的结果。 （2019）。
Recent NLP architectures have illustrated in various ways how semantic change can be captured across time and domains. However, in terms of evaluation there is a lack of benchmarks to compare the performance of these systems against each other. We present the results of the first shared task on unsupervised lexical semantic change detection (LSCD) in German based on the evaluation framework proposed by Schlechtweg et al. (2019).
