We present the first shared task on semantic change discovery and detection
in Spanish and create the first dataset of Spanish words manually annotated for
semantic change using the DURel framework (Schlechtweg et al., 2018). The task
is divided in two phases: 1) Graded Change Discovery, and 2) Binary Change
Detection. In addition to introducing a new language the main novelty with
respect to the previous tasks consists in predicting and evaluating changes for
all vocabulary words in the corpus. Six teams participated in phase 1 and seven
teams in phase 2 of the shared task, and the best system obtained a Spearman
rank correlation of 0.735 for phase 1 and an F1 score of 0.716 for phase 2. We
describe the systems developed by the competing teams, highlighting the
techniques that were particularly useful and discuss the limits of these
approaches.

本文介绍了在西班牙语中关于语义变化发现和检测的首个共享任务，并使用 DURel 框架手动注释了西班牙语单词的第一个数据集。该任务分为两个阶段：1）分级变化检测，2）二元变化检测。共有六个团队参加了第一阶段，七个团队参加了第二阶段，最佳结果在第一阶段获得了 0.735 的 Spearman 等级相关性，第二阶段获得了 0.716 的 F1 分数。本文介绍了参赛团队开发的系统，强调了特别有用的技术，并讨论了这些方法的局限性。