%0 Conference Proceedings %T SemEval-2021 Task 1: Lexical Complexity Prediction %A Shardlow, Matthew %A Evans, Richard %A Paetzold, Gustavo Henrique %A Zampieri, Marcos %Y Palmer, Alexis %Y Schneider, Nathan %Y Schluter, Natalie %Y Emerson, Guy %Y Herbelot, Aurelie %Y Zhu, Xiaodan %S Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval-2021) %D 2021 %8 August %I Association for Computational Linguistics %C Online %F shardlow-etal-2021-semeval %X This paper presents the results and main findings of SemEval-2021 Task 1 - Lexical Complexity Prediction. We provided participants with an augmented version of the CompLex Corpus (Shardlow et al. 2020). CompLex is an English multi-domain corpus in which words and multi-word expressions (MWEs) were annotated with respect to their complexity using a five point Likert scale. SemEval-2021 Task 1 featured two Sub-tasks: Sub-task 1 focused on single words and Sub-task 2 focused on MWEs. The competition attracted 198 teams in total, of which 54 teams submitted official runs on the test data to Sub-task 1 and 37 to Sub-task 2. %R 10.18653/v1/2021.semeval-1.1 %U https://aclanthology.org/2021.semeval-1.1 %U https://doi.org/10.18653/v1/2021.semeval-1.1 %P 1-16