SemEval-2020 Task 1: Unsupervised Lexical Semantic Change Detection

Understand

Lexical Semantic Change detection, i.e., the task of identifying words that change meaning over time, is a very active research area, with applications in NLP, lexicography, and linguistics.

• Evaluation is currently the most pressing problem in Lexical Semantic Change detection, as no gold standards are available to the community, which hinders progress.
• We present the results of the first shared task that addresses this gap by providing researchers with an evaluation framework and manually annotated, high-quality datasets for English, German, Latin, and Swedish.
• 33 teams submitted 186 systems, which were evaluated on two subtasks.